Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision.

Earnies are committed to helping borrowers move forward with confidence by offering smarter borrowing options with a clearer path to taking control of their debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together.

Title: Data Scientist

Duties:

• The Data Scientist at Earnest LLC in Oakland, CA will guide product recommendations and model development, and communicate analyses and insights to the Data team and broader organization.
• Develop and maintain predictive machine learning (ML) models to assess potential risks and opportunities across Earnest’s lending products, contributing to the enhancement of risk and marketing assessment procedures.
• Participate in the end-to-end ML pipeline, spanning from data collection to model deployment. This includes collaborating with data and infrastructure engineers to automate training and monitoring using BI tools and writing ETL pipelines to source data for model training from various sources such as Earnest or Navient data warehouses, production databases, third-party providers, and publicly available datasets.
• Conduct experimentation and execute causal inference analyses on pricing, marketing, and product models to optimize product conversion rates.
• Write code for inferential models that guide product and underwriting decisions, and document modeling decisions through Confluence or GitHub Readme files.
• Collaborate closely with cross-functional teams and stakeholders to accelerate solution iteration and achieve measurable outcomes.
• Articulate model impacts and analytical insights through presentations and reports, draft recommendations to optimize product and underwriting policies, and provide guidance and mentorship on modeling best practices to peers on the team.
• Position is 100% remote. Salary: $194,834 per year.

Requirements:

• Master’s degree in Data Science, Statistics, Business Analytics, or a related field, plus 4 years of experience as a Data Scientist or related occupation.
• Must have 2 years of experience with each of the following: (1) designing and implementing machine learning models, including regression, classification, and forecasting for applications including underwriting, propensity, or collections models; (2) SQL, Python, and R for data analysis, modeling, and automation; (3) product analytics and experimental design, including A/B testing and causal inference; (4) building, testing, and deploying scalable data pipelines and production-ready models using statistical and ML methods; (5)  researching and resolving data-related issues within the Financial Services, E-commerce, or Fintech sectors to drive informed decision-making and optimize business processes.

This notice is subject to Earnest LLC’s employee referral program.

Interested candidates can online at www.earnest.com/careers [earnest.com] or send a resume to directrecruiting@earnest.com and reference job code 065. Contact Chayna Eno at people@earnest.com if you have questions or need information about this application.

Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, including:

• Health, Dental, & Vision benefits plus savings plans
• Mac computers + work-from-home stipend to set up your home office
• Monthly internet and phone reimbursement
• Employee Stock Purchase Plan
• Restricted Stock Units (RSUs)
• 401(k) plan to help you save for retirement plus a company match
• Robust tuition reimbursement program
• $1,000 travel perk on each Earnie-versary to anywhere in the world
• Competitive days of annual PTO
• Competitive parental leave

What Makes an Earnie:

At Earnest, our people bring our cultural principles to life. These principles define how we work, how we win, and what we expect of ourselves and each other:

• Every Second Counts: Speed is our competitive advantage. Our customers need better solutions, and the faster we execute, the greater our chance of success.
• Choose To Do Hard Things: We win by tackling the hard things that others avoid, fueled by grit and resilience.
• Pursue Excellence: Great companies, teams, and individuals never settle and are proud of the work that they do. What’s good enough today won’t be good enough tomorrow. Excellence isn’t a destination; it’s a mindset of continuous improvement.
• Lead Together: Our success comes from how we work together. Leadership is not about titles—it is about action. We take ownership, drive results, and move forward as a team.
• Don’t Take Yourself Too Seriously: We take our work seriously, not ourselves. The stakes are high, but a sense of humor keeps us grounded, creative, and resilient.

At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.

Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.

Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision.

Earnies are committed to helping borrowers move forward with confidence by offering smarter borrowing options with a clearer path to taking control of their debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together.

Title: Data Scientist

Duties:

• The Data Scientist at Earnest LLC in Oakland, CA will guide product recommendations and model development, and communicate analyses and insights to the Data team and broader organization.
• Develop and maintain predictive machine learning (ML) models to assess potential risks and opportunities across Earnest’s lending products, contributing to the enhancement of risk and marketing assessment procedures.
• Participate in the end-to-end ML pipeline, spanning from data collection to model deployment. This includes collaborating with data and infrastructure engineers to automate training and monitoring using BI tools and writing ETL pipelines to source data for model training from various sources such as Earnest or Navient data warehouses, production databases, third-party providers, and publicly available datasets.
• Conduct experimentation and execute causal inference analyses on pricing, marketing, and product models to optimize product conversion rates.
• Write code for inferential models that guide product and underwriting decisions, and document modeling decisions through Confluence or GitHub Readme files.
• Collaborate closely with cross-functional teams and stakeholders to accelerate solution iteration and achieve measurable outcomes.
• Articulate model impacts and analytical insights through presentations and reports, draft recommendations to optimize product and underwriting policies, and provide guidance and mentorship on modeling best practices to peers on the team.
• Position is 100% remote. Salary: $194,834 per year.

Requirements:

• Master’s degree in Data Science, Statistics, Business Analytics, or a related field, plus 4 years of experience as a Data Scientist or related occupation.
• Must have 2 years of experience with each of the following: (1) designing and implementing machine learning models, including regression, classification, and forecasting for applications including underwriting, propensity, or collections models; (2) SQL, Python, and R for data analysis, modeling, and automation; (3) product analytics and experimental design, including A/B testing and causal inference; (4) building, testing, and deploying scalable data pipelines and production-ready models using statistical and ML methods; (5)  researching and resolving data-related issues within the Financial Services, E-commerce, or Fintech sectors to drive informed decision-making and optimize business processes.

This notice is subject to Earnest LLC’s employee referral program.

Interested candidates can online at www.earnest.com/careers [earnest.com] or send a resume to directrecruiting@earnest.com and reference job code 065. Contact Chayna Eno at people@earnest.com if you have questions or need information about this application.

Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, including:

• Health, Dental, & Vision benefits plus savings plans
• Mac computers + work-from-home stipend to set up your home office
• Monthly internet and phone reimbursement
• Employee Stock Purchase Plan
• Restricted Stock Units (RSUs)
• 401(k) plan to help you save for retirement plus a company match
• Robust tuition reimbursement program
• $1,000 travel perk on each Earnie-versary to anywhere in the world
• Competitive days of annual PTO
• Competitive parental leave

What Makes an Earnie:

At Earnest, our people bring our cultural principles to life. These principles define how we work, how we win, and what we expect of ourselves and each other:

• Every Second Counts: Speed is our competitive advantage. Our customers need better solutions, and the faster we execute, the greater our chance of success.
• Choose To Do Hard Things: We win by tackling the hard things that others avoid, fueled by grit and resilience.
• Pursue Excellence: Great companies, teams, and individuals never settle and are proud of the work that they do. What’s good enough today won’t be good enough tomorrow. Excellence isn’t a destination; it’s a mindset of continuous improvement.
• Lead Together: Our success comes from how we work together. Leadership is not about titles—it is about action. We take ownership, drive results, and move forward as a team.
• Don’t Take Yourself Too Seriously: We take our work seriously, not ourselves. The stakes are high, but a sense of humor keeps us grounded, creative, and resilient.

At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.

Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

As part of our Operations team, the PLM Data Analyst owns our product lifecycle management processes to support our product, engineering development and sustaining manufacturing initiatives. This position demands a robust understanding of the Propel PLM platform, focusing on data management, configuration, and integration within our flexible operational framework. The successful candidate will ensure that our PLM system matches real-world production and customer shipment configurations, facilitating efficient and effective product development and lifecycle management.

This is a remote role open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. Youwill be surrounded by a high-calibre team that will encourage you to do your best.

In this role, you will:

• Providing day-to-day support of the PLM tool and product community, ensure consistency of material master data fields in PLM with other business management systems, validate product data, BOMs, Operations and Financial Planning requirements, collaborate with PLM vendor support team and monitor and review system performance.
• Ensure the Propel PLM system is seamlessly integrated into our operations, supporting product, engineering, manufacturing, and supply chain processes.
• Maintain the PLM system’s performance, security, and reliability as the system of record for all products.
• Ensure the accuracy, consistency, and security of PLM data across all platforms.
• Develop and implement data management practices to improve data quality and accessibility.
• Tailor the PLM system to meet operational needs, implementing workflows, user roles, and data structures that support our rapidly evolving manufacturing and engineering processes.
• Work closely with the Operations, Engineering, Business Technology and Product teams to ensure the PLM system enhances our operational capabilities and supports cross-functional initiatives.
• Equip operational teams with the necessary training and support to utilize the PLM system fully, enhancing user adoption and system utility.
• Drive continuous improvement by analyzing system usage, gathering feedback from operational teams, and implementing enhancements to support evolving business needs.
• Lead PLM-related projects within the Operations team, managing timelines, resources, and deliverables to achieve project objectives.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, with a strong understanding of operational processes.
• 3+ years of direct experience with deploying and managing PLM systems, preferably within an operations or manufacturing context.
• Demonstrated ability to integrate PLM systems with other operational technologies (ERP, CRM, planning systems, and offline spreadsheets).
• Knowledge & familiarity working with CAD drawings, Gerbers, Schematics, and other hardware design documentation.
• Strong problem-solving skills and the ability to manage complex system issues.
• Effective communication and collaboration skills, with experience working in cross-functional teams and external vendors.
• Willingness to get into the details, including but not limited to day-to-day system maintenance to accurately reflect the SKU portfolio.
• A positive mindset in a rapidly changing environment.

An ideal candidate also has:

• Propel PLM administration certifications.
• Knowledge of Salesforce, upon which Propel is built, is highly advantageous.
• Ability to comprehend business needs and convert them into technical requirements documents.
• Experience with programming for custom solutions (Apex, Visualforce, JavaScript).
• Familiarity with Agile and Scrum project management methodologies.
• Proven track record of successful project management.

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.

Annual Base Salary

$62,772—$94,950 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

At GFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating better internet is never done - so we’re growing! Our team is committed to building a place where people who want to make a difference can grow their careers and find their spot to belong.

GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our teams are expanding as we connect more cities and people to exceptional internet.

The application window will be open until at least July 19th, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

Area Description

GFiber’s mission is to deliver abundant internet on networks that are always fast and always open with products that are easy to understand and clearly priced. We believe customers deserve a better internet experience and everything we do is focused on providing just that. On our team, you’ll work in an environment that’s redefining the status quo in the Internet industry. Within the Data Community team, you’ll do everything from data engineering, scripting, visuals, insights, data science, and more.

Role Description

As a Data Analytics Engineer for GFiber, you will be working with multiple stakeholders across the organization to provide quantitative support, define metric rules and logic, deliver useful tables and reports, model business scenarios, and solve a wide range of business problems. To do so, you will be expected to create new pipelines from scratch, merging broad financial and ERP data sets together into a cohesive technical infrastructure. You will be responsible for engineering foundational table resources using Google Cloud Platform (GCP): BigQuery, Dataform, LookML, Dataplex, etc. The pipelines, metrics, tools, and analyses you develop will be used by our leaders to make strategic decisions and serve as a key input in decision-making.

In this role, you’ll:

• Create foundational pipelines and data extractions with large data sets using SQL and other GCP technologies demonstrating comfort with software-engineering-level best practices and approaches to data pipelines and management.
• Work with large, complex data sets to solve difficult analysis problems, assess the impact of initiatives, and create on-going tooling/resources to run the business.
• Collaborate with cross-functional partners to understand business context for solutions, analysis, and tooling needed to become the single point of contact for all financial data engineering questions.
• Undertake specific tasks, bugs, and maintenance work. Additionally, own complex projects, proving mastery through accuracy, timeliness, and volume of work, with minimal guidance.

At a minimum we’d like you to have:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in analytics, data science, and/or computer science engineering.
• 5 Years of experience with using SQL, writing queries from scratch on a daily basis, data engineering, architecture, pipeline management, and Extract, Transform, Load (ETL).
• Expertise using GCP tools.

It’s preferred if you have:

• Experience in HTML, Python, or other coding languages.
• Experience using data to identify opportunities for business improvement and defining/measuring the success of those initiatives.
• Ability to use written and verbal communication to build relationships with cross-functional partners and conduct presentations for stakeholders, including executive leadership.
• Ability to engage with PMO teams to prioritize, provide level of effort estimations, manage bug queues and bandwidth.

The US base salary range for this full-time position is between $105,600 - $154,900 + bonus + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

GFiber is committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status, disability or Veteran status. Disclosure is voluntary, and this information will be kept confidential in compliance with Google’s Candidate Privacy Policy. For more information please refer to our Equal Employment Opportunity Policy and the EEOC’s “Know your rights: workplace discrimination is illegal” (PDF).

It’s important to us to create an accessible, inclusive workplace for everyone. If you have a need that requires accommodation, please let us know by completing ouraccommodations for applicants form. Our candidate accommodations team will then connect with you to confidentially discuss your options.

Location:Work from home (Pennsylvania)Shift:Days (United States of America)Scheduled Weekly Hours:40Worker Type:RegularExemption Status:YesJob Summary:The Associate BI Developer will gain experience with reporting tools as well as the process to develop clear, concise, and accurate reports and dashboards.

More than 135 years ago, we started with core values that never go out of style: listen, learn and help businesses and individuals reach their goals. These core values shape our culture, and we were recently Great Place to Work Certified because of our outstanding workplace culture and employee experience. As well, our financial strength and stability are key reasons Forbes named us one of the Best 100 Banks in America for the ninth consecutive year.

With more than $16 billion in assets and 135 branch locations throughout Washington, Oregon, Idaho, and California, we understand our role in the economy and take that responsibility seriously. In addition to offering a source of capital to personal banking clients and businesses of all sizes, we place a high importance on employee volunteerism and donate millions of dollars each year to community organizations.

As a Credit Analyst, you play a key role in helping the bank make sound, responsible lending decisions that support our clients and communities. Your analysis and insights help balance growth with risk, ensuring every credit decision is thoughtful, compliant, and well supported. This is a great opportunity to deepen your financial expertise while working alongside experienced banking professionals.

In this role you’ll

• Investigate credit and financial information for prospective and existing commercial clients.
• Analyze business and personal financial statements, tax returns, cash flow, collateral, and sources of repayment.
• Prepare credit approval packages, spreadsheets, summaries, and written analyses for loan decision makers.
• Support new, renewed, and existing loan requests ranging from simple to moderately complex.
• Ensure all work complies with internal policies, procedures, security requirements, and applicable regulations.

What we’re looking for

• You hold a Bachelor’s degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required).
• An equivalent combination of education and experience can be considered in lieu of a degree.
• You bring two or more years of related credit or financial analysis experience (Required).

What helps you shine

• You’re comfortable analyzing financial statements, tax returns, and cash flow with a strong grasp of basic accounting principles.
• You bring solid analytical thinking and sound judgment to every credit investigation.
• You can manage high volumes of work accurately while adapting to shifting priorities in a deadline-driven environment.
• You communicate clearly and professionally, both in writing and in conversation.
• You understand federal and state regulations related to commercial lending.
• You are proficient in Excel, Word, and other applicable systems.

Travel

• 0%

Our Company Values

• Do the right thing
• Mutual respect
• Teamwork
• Accountability

What Our Team Says

“I have the opportunity to learn and grow every day in my current role. I love the work life balance, knowing that we work hard, and strive for high performance but we are celebrated.”

Compensation & Benefits

• Targeted starting salary range (based on experience): $30.34- 39.98
• Annual incentive potential
• Comprehensive employee benefits, including: medical, dental, vision, LTD, STD and life
• Paid vacation time, sick time and 11 company paid holidays
• 401k (with up to 4% match)
• Tuition reimbursement

Review Banner’s employee benefits at: Employee Benefits | Banner Bank

Please take time to review Banner Bank’s Consent & Privacy notice before applying.

Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, marital status, age, disability or protected veteran status.

Banner Bank does not accept unsolicited resumes from agencies and/or search firms for any job postings. Resumes submitted to any Banner Bank employee by a third-party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Banner Bank. No fee will be paid if a candidate is hired for a position as a result of an unsolicited agency or search firm referral.

At a leading IT-focused organization, we believe every detail matters and every team member plays a vital role in creating meaningful impact. We are committed to building a supportive workplace where motivated individuals can grow professionally, develop valuable skills, and build long-term careers in the digital industry.

This opportunity is ideal for dependable, detail-oriented candidates seeking a stable remote position with training, growth potential, and a collaborative work environment.

Why This Opportunity Stands Out

Competitive starting compensation

Paid training and guided onboarding process

Health, dental, and vision benefits for eligible full-time employees

Paid holidays and time off

Flexible scheduling options to support work-life balance

Clear advancement opportunities and long-term career development

Supportive and team-oriented work culture

Our Commitment

We are dedicated to creating a fair, respectful, and inclusive hiring experience for every applicant. Candidate privacy, transparency, and equal opportunity remain at the core of our values. We proudly work with organizations that share these principles and are committed to maintaining a safe and professional recruitment environment for all.

If you are looking for an opportunity to grow your career, develop professional skills, and become part of a supportive team, we encourage you to apply today.

#RemoteWork #DataEntry #CareerOpportunity #ITJobs #WorkFromHome #HiringNow #EntryLevelJobs

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Our mission: e liminating every barrier to mental health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We’re building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Reporting to the VP, Revenue Operations and partnering closely with our Systems and Strategy & Operations teams, the Director, Revenue Analytics & AI Transformation will serve as the semantic layer of our AI-native RevOps organization. This role will be responsible for building the unified data models and AI transformation strategy that power decisions from individual contributors to the executive team. This is a full-time, fully remote role leading a small, highly technical team as a hands-on player-coach. NYC is preferred for this role, but we are open to considering remote candidates. Travel is limited, with occasional trips (approximately quarterly) for team and company offsites.

What you’ll do:

• Architect and own the unified semantic and data layer that underpins Revenue Operations — the single source of truth connecting Sales, Marketing, Customer Success, and Finance data.
• Define and drive the AI transformation strategy for Revenue Operations, identifying where AI and automation can meaningfully improve GTM efficiency, forecasting, and decision-making.
• Build and lead a small, highly technical team of data/analytics engineers, operating as a true player-coach who still writes code and ships models personally.
• Design and maintain core data models, pipelines, and analytics products that deliver actionable insight across the revenue organization — from individual contributors to executives.
• Partner closely with the Systems and Strategy & Operations teams to ensure data architecture, tooling, and process are tightly aligned across RevOps.
• Evaluate, pilot, and deploy AI tools and vendors, staying ahead of the fast-moving AI landscape and translating emerging capabilities into practical, high-value use cases.
• Establish data governance, quality standards, and documentation practices that scale as the organization grows.
• Build executive-ready dashboards and analyses that inform revenue strategy and company-wide reporting.
• Champion a “build fast, iterate faster” culture — rapidly prototyping and deploying solutions rather than waiting for a long, perfect build cycle.
• Serve as a thought partner to Revenue leadership on how AI and modern data infrastructure can reshape the future of go-to-market operations.

What success looks like:

• Reduction in time-to-insight for revenue questions, measured by cycle time from request to delivered analysis.
• Adoption of unified data models and dashboards across Sales, Marketing, and Customer Success teams.
• Number of AI-driven use cases successfully piloted and deployed into production each quarter.
• Improved forecast accuracy and reporting consistency across the revenue funnel.
• Percentage of core revenue reporting migrated off manual/spreadsheet-based processes onto the unified data layer.

What you’ll bring:

• 10+ years of experience in data engineering, analytics engineering, or revenue/GTM analytics, including experience leading or building technical teams.
• Deep hands-on expertise in data engineering and analytics engineering (e.g., SQL, dbt, modern data warehousing, ETL/ELT pipelines).
• Proven experience designing and owning semantic and data models that serve multiple stakeholders, from analytics and BI to AI use cases.
• Demonstrated experience leading AI adoption or AI-enabled transformation within a GTM or Revenue organization.
• Strong, current knowledge of the AI vendor, tooling, and trends landscape, with the judgment to separate hype from real value.
• A track record as a “player-coach” — someone who has built and led a small team while remaining deeply hands-on.
• Experience partnering closely with Revenue/GTM systems and strategy & operations functions.
• Excellent communication skills, with the ability to translate technical work into business impact for individual contributors and executives alike.
• A scrappy, fast-moving builder mentality — comfortable shipping v1 solutions quickly and iterating.

Nice to have:

• Experience with B2B2C customers
• Experience in a high-growth SaaS or healthtech environment.
• Familiarity with modern AI/ML tooling (LLM-based agents, copilots, automation platforms) applied to go-to-market use cases.
• Hands-on experience with tools such as Salesforce, Clay, Snowflake or BigQuery, dbt, Looker or Tableau, and Python
• Prior experience at a company undergoing significant data infrastructure modernization.

The target base salary range for this position is $196,000 - $247,940 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

• Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
• Employer sponsored 401(k) match of up to 2% for retirement planning
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
• We offer competitive paid time off policies including vacation, sick leave and company holidays.
• At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
• Access to Noom , a weight management program—based in psychology, that’s tailored to your unique needs and goals.
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
• Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
• Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
• Up to $1,000 Professional Development Reimbursement a year.
• $200 per year donation matching to support your favorite causes.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.

Our privacy policy: https://springhealth.com/privacy-policy/

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

About the role

Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, and space-based environmental monitoring. Muon’s IR Data Products team builds the analytics system that processes the data from our spacecraft’s custom multispectral imaging instruments into data products and analytics for diverse end-user stakeholders from these missions. We are seeking a Remote Sensing Data Scientist to join this team with a focus on Orthomosaic Tile products spanning two of Muon’s core missions.

In the near term, this role will be a key contributor to the development of Orthomosaic Tile products for the FireSat Initial Operating Capability (IOC) constellation — diving deep into real-world data from a brand new system and writing production-ready code that feeds directly into customer-facing services. In parallel, this role will ramp up on Muon’s Space-Based Environmental Monitoring (SBEM) program, leading early product design for the SBEM granule product, authoring technical and customer-facing design documentation, and owning the IR Data team’s engagement with SBEM stakeholders. Looking ahead to 2027 and the SBEM launch, this role will serve as the full product owner for the SBEM granule product. This is a high-impact, multi-mission role that sits at the intersection of rigorous Earth observation science and fast-moving product development, and is well-suited for someone who thrives on both deep technical work and cross-functional collaboration.

This position can be performed remotely from an approved location.

Responsibilities

• Develop imaging products for end-users from Muon’s infrared imaging missions, spanning both the FireSat Initial Operating Capability (IOC) and the Space-Based Environmental Monitoring (SBEM) program
• Research, design, and implement scalable algorithms for image mosaicking, orthorectification, and radiometric normalization of multispectral infrared imagery.
• Product owner for critical customer-facing imagery products in the SBEM and FireSat programs.
• Author and maintain technical and customer-facing design documents for imagery products, ensuring alignment between internal capabilities and external stakeholder requirements.
• Engage with customer technical stakeholders including Technical Interchange Meetings (TIMs), customer questions, and program meetings
• Write production-ready code that integrates into customer-facing data product pipelines and operational services.
• Ensure the scientific quality, quantitative validation, and integrity of Orthomosaic Tile products across both wildfire and SBEM missions.
• Work cross-functionally with software engineers, calibration scientists, and instrument engineers to design, build, and maintain operational data product services.
• Learn new topics as needed (e.g., sensor geometry and characterization, georeferencing techniques, wildfire and environmental monitoring applications, cloud-native geospatial data engineering).

Qualifications

• PhD with 3+ years of industry experience; or MS with 6+ years industry experience; or BS +8 years industry experience
• 5+ years of experience building geospatial data products from remote sensing data
• Hands-on experience with image mosaicking, orthorectification, or related geospatial image processing techniques
• Experience working with real-world data from new or novel imaging instruments
• Familiarity with common geospatial data formats and tools (e.g., Cloud Optimized GeoTIFF, XArray, GDAL)
• Exceptional skills in Python-based development and analysis
• Ability to author and clearly communicate technical design documents and product specifications
• Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
• Ability to thrive in a fast-paced startup environment

Preferred Qualifications

• Experience processing multispectral or infrared satellite imagery
• Domain expertise in meteorology, weather, environmental remote sensing, or related Earth observation applications
• Domain expertise in  wildfire monitoring
• Experience supporting satellite mission product development, commissioning, or early operations
• Track record of delivering operational geospatial data products to external customers
• Experience as a product owner or technical lead for a data product
• Familiarity with cloud-native geospatial systems and pipelines (AWS preferred)
• Experience working with large datasets

Salary

The salary range for this role is $138,000 - $198,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.

About Muon Space

Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.

Taking Care of Our Team

At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.

Our mission embraces the entire planet and we believe our team should too.  Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don’t check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.

ITAR/EAR Requirements

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or © eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

About the role

Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, and space-based environmental monitoring. Muon’s IR Data Products team builds the analytics system that processes the data from our spacecraft’s custom multispectral imaging instruments into data products and analytics for diverse end-user stakeholders from these missions. We are seeking a Data Scientist to join the team to build out the on-orbit data calibration system.

In this role, the candidate will join Muon’s calibration team to develop calibration and image processing of the unique multi-spectral infrared data from several instrument variations in Muon’s IR missions. As the FireSat constellation scales, this role will take on an expanded mandate that spans both the FireSat Initial Operating Capability (IOC) commissioning and Muon’s Space-Based Environmental Monitoring (SBEM) program. In the near term, the candidate will join the calibration team to commission and calibrate the three FireSat satellites of the IOC constellation, scheduled to launch in Q3 2026. In parallel, the candidate will develop a comprehensive calibration plan for Muon’s SBEM instruments — a next-generation sensor suite featuring additional infrared spectral bands and significantly more stringent radiometric calibration requirements than the FireSat camera. As the SBEM program advances toward its 2027 launch, the candidate will first collaborate with the IR Instrument team on pre-launch calibration activities, then transition to lead the full on-orbit calibration of the SBEM instruments.

This position can be performed remotely from an approved location.

Responsibilities

• Design and implement radiometric calibration and image processing of the multispectral infrared imagery from Muon’s FireSat mission.
• Develop then execute the calibration program for the SBEM infrared camera.
• Research and development to improve foundational data calibration and processing.
• Implement and operate production pipelines for calibration and data processing.
• Write production-ready code.
• Work cross functionally within the team and across Muon to design, build, and maintain operational services from Muon’s core remote sensing missions
• Learn new topics as needed (measurement techniques, geospatial data engineering, software engineering, customer domain-specific implications)

Qualifications

• PhD with 3+ years of industry experience; or MS with 6+ years industry experience; or BS +8 years industry experience
• 4+ years of experience calibrating imaging instruments
• Hands-on experience with complex data from new imaging instruments
• Exceptional skills in python-based development and analysis
• Strong statistical and mathematical skills
• Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
• Ability to thrive in a fast-paced start up environment

Preferred Qualifications

• Experience with mid-wave infrared instruments and mid-wave infrared data processing
• Calibrating on-orbit instruments
• Deep knowledge of the science of remote sensing.
• Experience with geospatial data processing
• Familiarity with common geospatial data tooling and formats (e.g. XArray, COG, NetCDF)
• Domain expertise in geospatial analytics
• Familiarity with cloud-native systems (AWS, preferably)
• Experience working with large TB-sized datasets

Salary

The salary range for this role is $138,000 - $198,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.

About Muon Space

Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.

Taking Care of Our Team

At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.

Our mission embraces the entire planet and we believe our team should too.  Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don’t check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.

ITAR/EAR Requirements

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or © eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

Hi, we’re TechnologyAdvice.

At TechnologyAdvice, we pride ourselves on helping B2B tech buyers manage the complexity and risk of the buying process. We are a trusted source of information for tech buyers, delivering advice and facilitating connections between our buyers and the world’s leading sellers of business technology.

Headquartered in Nashville, Tennessee, we are a remote-first company with more than 20 digital publications and over 200 global team members in the US, UK, Singapore, Australia, and the Philippines. We’re proud to have been repeatedly recognized as one of America’s fastest growing private companies by Inc., as well as a Tennessee top workplace. We work hard each day and have fun, too, with monthly virtual events, recreational slack channels, and the occasional costumed dance from our CEO.

All positions are open to remote work unless otherwise specified in the requirements below.

The opportunity

We’re seeking a Senior Analytics Engineer who views data as a product and trusted business data as a strategic asset. You’ll partner closely with Engineering, Finance, Revenue, Marketing, Editorial, and other business teams to build the certified data models, semantic layers, and analytics platform that enable confident decision-making across TechnologyAdvice.

As an individual contributor on our distributed team, you’ll independently identify opportunities to improve how data is collected, modeled, validated, documented, and consumed throughout the organization. You’ll own initiatives from discovery and business definition through implementation, testing, documentation, adoption, and ongoing iteration—working directly with stakeholders to establish trusted metrics and eliminate ambiguity in how the business measures success.

We’re rebuilding the foundation of how trusted data is created, governed, and consumed across TechnologyAdvice. Success in this role isn’t measured by the number of dashboards built or SQL queries written. It’s measured by the trust the organization places in its data, the adoption of certified data models, improvements in decision-making, and your ability to independently identify and deliver high-value opportunities that improve how the company operates.

The best candidates are naturally curious, highly autonomous, and enjoy translating ambiguous business problems into scalable, trusted data products. They leverage modern AI tools to accelerate development, documentation, testing, and analysis while maintaining rigorous standards for data quality, governance, and engineering excellence.

Our goal is simple: every meeting, every dashboard, and every business decision should be powered by the same trusted data.

If you’re excited by the opportunity to help build a modern analytics platform where every meeting can rely on the same trusted metrics, we’d love to talk.

Location: India (Remote)

Employment Type: Contractor

What you’ll do

• Own the design, implementation, and evolution of certified data models, semantic layers, and trusted business metrics that become the foundation for reporting and decision-making across TechnologyAdvice.
• Partner directly with Finance, Revenue, Marketing, Editorial, Product, and Engineering stakeholders to understand business questions, define trusted metric definitions, and translate ambiguity into scalable data solutions.
• Design, build, and maintain analytics models, transformations, and data products using modern analytics engineering practices.
• Establish and continuously improve data quality through automated testing, validation, monitoring, and observability to ensure business stakeholders can trust the data they use every day.
• Improve the architecture, organization, and maintainability of our analytics platform, continuously identifying opportunities to simplify, standardize, and modernize our Business Intelligence ecosystem.
• Collaborate with DevOps and Software Engineers to improve data ingestion, lineage, orchestration, governance, and platform reliability across the analytics stack.
• Apply AI-assisted development practices to accelerate SQL development, documentation, testing, root cause analysis, and engineering productivity while maintaining rigorous standards for data quality and accuracy.
• Document business definitions, data models, metric logic, and architectural decisions to improve transparency, onboarding, and long-term maintainability.
• Continuously evaluate new technologies, AI capabilities, and analytics engineering practices that improve data quality, governance, developer productivity, and stakeholder confidence.
• Own trusted data products end-to-end—from business discovery and metric definition through implementation, validation, adoption, and continuous improvement.
• Champion a culture of trusted data by helping teams adopt certified data models and reducing duplicate business logic across reports, dashboards, and applications.

Who you are

Ownership & Business Impact

• Demonstrated ability to simplify complex data ecosystems by standardizing business logic, establishing trusted metric definitions, reducing duplicate reporting logic, and increasing organizational confidence in data.
• Demonstrated ability to translate ambiguous business problems into trusted, scalable data products by partnering directly with stakeholders throughout discovery, implementation, validation, and adoption.
• Proven track record of independently delivering analytics solutions that improve business decision-making with minimal oversight.
• Strong judgment in evaluating build-vs-buy decisions and identifying opportunities to leverage existing platforms, automation, and AI before creating custom solutions.
• Experience defining business metrics and establishing consistent semantic definitions across multiple stakeholders and reporting systems.

Analytics Engineering Excellence

• Deep experience designing, building, and maintaining certified data models using modern analytics engineering practices.
• Strong understanding of dimensional modeling, semantic layers, data quality, and analytics engineering principles.
• Demonstrated experience implementing automated testing, validation, documentation, and monitoring to improve trust in analytical data.
• Strong systems thinking with the ability to understand how upstream data collection, transformations, and downstream reporting interact across the analytics ecosystem.
• Demonstrated ability to leverage AI-assisted development tools to improve SQL development, documentation, testing, root cause analysis, and engineering productivity while maintaining high standards for accuracy and quality.

Technical Expertise

• Advanced SQL skills with demonstrated experience writing, optimizing, and troubleshooting complex analytical queries.
• Experience with modern data transformation frameworks (e.g., dbt or similar).
• Experience working with cloud data warehouses (e.g., Amazon Redshift, BigQuery, or similar platforms).
• Experience designing data models that balance usability, scalability, performance, and long-term maintainability.
• Familiarity with modern data orchestration, version control, CI/CD, and collaborative engineering workflows.

Collaboration & Communication

• Strong communication skills with the ability to translate technical concepts into business language and collaborate effectively across technical and non-technical stakeholders.
• Self-driven, highly autonomous, and comfortable operating in a remote-first environment while managing priorities and consistently delivering results.
• Passion for building trust in data and continuously improving how organizations measure, understand, and act on business performance.

Experience with Redshift, BigQuery, dbt, Airflow, Dagster, Python, OpenMetadata, semantic layers, or metric stores is preferred, but exact technology matches are not required. This role is best suited for someone who brings a mindset for platform modernization, strong cross-functional partnership, a dedication to data quality and governance, and a practical approach to using AI to accelerate their analytics workflows.

#LI-Remote

*Please note that, as this is a contract position, no perks or benefits are included with this role.

Our Analytics Engineering Philosophy at TechnologyAdvice

• We build trusted data — Our goal is simple: every meeting, every dashboard, and every business decision should be powered by the same trusted data. And we believe every business metric should have one trusted definition, not ten competing implementations.
• We think like product engineers — We don’t just write SQL. We build reusable data products that solve business problems and improve decision-making across the organization.
• We optimize for trust over speed — Fast dashboards are valuable, but trusted metrics are essential. We invest in testing, documentation, governance, and quality to ensure confidence in every number we publish.
• We embrace AI — We expect the thoughtful use of AI-powered tools (Cursor, Claude, ChatGPT, and others) to accelerate development, documentation, testing, and analysis while maintaining rigorous engineering standards.
• We own outcomes — Analytics Engineers are empowered to challenge assumptions, simplify complexity, improve business definitions, and identify opportunities that increase organizational trust in data.
• We continuously improve — We modernize our analytics platform through automation, standardization, and engineering best practices, always looking for ways to reduce technical debt and increase long-term maintainability.

Work authorization

Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in India at hire and must maintain authorization to work in India throughout their employment with our company.

Salary Range

We seek to hire top-tier individuals and intend for our compensation to be at a rate that allows us to recruit and retain individuals who align with our core values, purpose, mission, and vision. Final total compensation is based on a multitude of factors including, but not limited to, skill level, relevant experience to the position, and cost of labor.

Hourly pay range

₹1,800—₹2,700 INR

EOE statement

We believe that our differences make us stronger, and thus foster a diverse and inclusive culture where people feel safe being themselves. TechnologyAdvice is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.

Pre-employment screening required.

TechnologyAdvice does not engage with external staffing agencies. Any candidates introduced by such firms will not be eligible for compensation. TechnologyAdvice communicates only through @technologyadvice.com emails and official recruiting platforms. We never recruit via Teams, WhatsApp, or similar apps, and we will never request money, gift cards, or personal financial details during hiring.

Any AI-generated or incomplete application answers will be auto-rejected.

Hi, we’re TechnologyAdvice.

At TechnologyAdvice, we pride ourselves on helping B2B tech buyers manage the complexity and risk of the buying process. We are a trusted source of information for tech buyers, delivering advice and facilitating connections between our buyers and the world’s leading sellers of business technology.

Headquartered in Nashville, Tennessee, we are a remote-first company with more than 20 digital publications and over 200 global team members in the US, UK, Singapore, Australia, and the Philippines. We’re proud to have been repeatedly recognized as one of America’s fastest growing private companies by Inc., as well as a Tennessee top workplace. We work hard each day and have fun, too, with monthly virtual events, recreational slack channels, and the occasional costumed dance from our CEO.

All positions are open to remote work unless otherwise specified in the requirements below.

The opportunity

We’re seeking a Senior Analytics Engineer who views data as a product and trusted business data as a strategic asset. You’ll partner closely with Engineering, Finance, Revenue, Marketing, Editorial, and other business teams to build the certified data models, semantic layers, and analytics platform that enable confident decision-making across TechnologyAdvice.

As an individual contributor on our distributed team, you’ll independently identify opportunities to improve how data is collected, modeled, validated, documented, and consumed throughout the organization. You’ll own initiatives from discovery and business definition through implementation, testing, documentation, adoption, and ongoing iteration—working directly with stakeholders to establish trusted metrics and eliminate ambiguity in how the business measures success.

We’re rebuilding the foundation of how trusted data is created, governed, and consumed across TechnologyAdvice. Success in this role isn’t measured by the number of dashboards built or SQL queries written. It’s measured by the trust the organization places in its data, the adoption of certified data models, improvements in decision-making, and your ability to independently identify and deliver high-value opportunities that improve how the company operates.

The best candidates are naturally curious, highly autonomous, and enjoy translating ambiguous business problems into scalable, trusted data products. They leverage modern AI tools to accelerate development, documentation, testing, and analysis while maintaining rigorous standards for data quality, governance, and engineering excellence.

Our goal is simple: every meeting, every dashboard, and every business decision should be powered by the same trusted data.

If you’re excited by the opportunity to help build a modern analytics platform where every meeting can rely on the same trusted metrics, we’d love to talk.

Location: India (Remote)

Employment Type: Contractor

What you’ll do

• Own the design, implementation, and evolution of certified data models, semantic layers, and trusted business metrics that become the foundation for reporting and decision-making across TechnologyAdvice.
• Partner directly with Finance, Revenue, Marketing, Editorial, Product, and Engineering stakeholders to understand business questions, define trusted metric definitions, and translate ambiguity into scalable data solutions.
• Design, build, and maintain analytics models, transformations, and data products using modern analytics engineering practices.
• Establish and continuously improve data quality through automated testing, validation, monitoring, and observability to ensure business stakeholders can trust the data they use every day.
• Improve the architecture, organization, and maintainability of our analytics platform, continuously identifying opportunities to simplify, standardize, and modernize our Business Intelligence ecosystem.
• Collaborate with DevOps and Software Engineers to improve data ingestion, lineage, orchestration, governance, and platform reliability across the analytics stack.
• Apply AI-assisted development practices to accelerate SQL development, documentation, testing, root cause analysis, and engineering productivity while maintaining rigorous standards for data quality and accuracy.
• Document business definitions, data models, metric logic, and architectural decisions to improve transparency, onboarding, and long-term maintainability.
• Continuously evaluate new technologies, AI capabilities, and analytics engineering practices that improve data quality, governance, developer productivity, and stakeholder confidence.
• Own trusted data products end-to-end—from business discovery and metric definition through implementation, validation, adoption, and continuous improvement.
• Champion a culture of trusted data by helping teams adopt certified data models and reducing duplicate business logic across reports, dashboards, and applications.

Who you are

Ownership & Business Impact

• Demonstrated ability to simplify complex data ecosystems by standardizing business logic, establishing trusted metric definitions, reducing duplicate reporting logic, and increasing organizational confidence in data.
• Demonstrated ability to translate ambiguous business problems into trusted, scalable data products by partnering directly with stakeholders throughout discovery, implementation, validation, and adoption.
• Proven track record of independently delivering analytics solutions that improve business decision-making with minimal oversight.
• Strong judgment in evaluating build-vs-buy decisions and identifying opportunities to leverage existing platforms, automation, and AI before creating custom solutions.
• Experience defining business metrics and establishing consistent semantic definitions across multiple stakeholders and reporting systems.

Analytics Engineering Excellence

• Deep experience designing, building, and maintaining certified data models using modern analytics engineering practices.
• Strong understanding of dimensional modeling, semantic layers, data quality, and analytics engineering principles.
• Demonstrated experience implementing automated testing, validation, documentation, and monitoring to improve trust in analytical data.
• Strong systems thinking with the ability to understand how upstream data collection, transformations, and downstream reporting interact across the analytics ecosystem.
• Demonstrated ability to leverage AI-assisted development tools to improve SQL development, documentation, testing, root cause analysis, and engineering productivity while maintaining high standards for accuracy and quality.

Technical Expertise

• Advanced SQL skills with demonstrated experience writing, optimizing, and troubleshooting complex analytical queries.
• Experience with modern data transformation frameworks (e.g., dbt or similar).
• Experience working with cloud data warehouses (e.g., Amazon Redshift, BigQuery, or similar platforms).
• Experience designing data models that balance usability, scalability, performance, and long-term maintainability.
• Familiarity with modern data orchestration, version control, CI/CD, and collaborative engineering workflows.

Collaboration & Communication

• Strong communication skills with the ability to translate technical concepts into business language and collaborate effectively across technical and non-technical stakeholders.
• Self-driven, highly autonomous, and comfortable operating in a remote-first environment while managing priorities and consistently delivering results.
• Passion for building trust in data and continuously improving how organizations measure, understand, and act on business performance.

Experience with Redshift, BigQuery, dbt, Airflow, Dagster, Python, OpenMetadata, semantic layers, or metric stores is preferred, but exact technology matches are not required. This role is best suited for someone who brings a mindset for platform modernization, strong cross-functional partnership, a dedication to data quality and governance, and a practical approach to using AI to accelerate their analytics workflows.

#LI-Remote

*Please note that, as this is a contract position, no perks or benefits are included with this role.

Our Analytics Engineering Philosophy at TechnologyAdvice

• We build trusted data — Our goal is simple: every meeting, every dashboard, and every business decision should be powered by the same trusted data. And we believe every business metric should have one trusted definition, not ten competing implementations.
• We think like product engineers — We don’t just write SQL. We build reusable data products that solve business problems and improve decision-making across the organization.
• We optimize for trust over speed — Fast dashboards are valuable, but trusted metrics are essential. We invest in testing, documentation, governance, and quality to ensure confidence in every number we publish.
• We embrace AI — We expect the thoughtful use of AI-powered tools (Cursor, Claude, ChatGPT, and others) to accelerate development, documentation, testing, and analysis while maintaining rigorous engineering standards.
• We own outcomes — Analytics Engineers are empowered to challenge assumptions, simplify complexity, improve business definitions, and identify opportunities that increase organizational trust in data.
• We continuously improve — We modernize our analytics platform through automation, standardization, and engineering best practices, always looking for ways to reduce technical debt and increase long-term maintainability.

Work authorization

Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in India at hire and must maintain authorization to work in India throughout their employment with our company.

Salary Range

We seek to hire top-tier individuals and intend for our compensation to be at a rate that allows us to recruit and retain individuals who align with our core values, purpose, mission, and vision. Final total compensation is based on a multitude of factors including, but not limited to, skill level, relevant experience to the position, and cost of labor.

Hourly pay range

₹1,800—₹2,700 INR

EOE statement

We believe that our differences make us stronger, and thus foster a diverse and inclusive culture where people feel safe being themselves. TechnologyAdvice is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.

Pre-employment screening required.

TechnologyAdvice does not engage with external staffing agencies. Any candidates introduced by such firms will not be eligible for compensation. TechnologyAdvice communicates only through @technologyadvice.com emails and official recruiting platforms. We never recruit via Teams, WhatsApp, or similar apps, and we will never request money, gift cards, or personal financial details during hiring.

Any AI-generated or incomplete application answers will be auto-rejected.

Company Description

SmartRecruiters powers Superhuman Hiring™ by freeing talent acquisition teams from legacy applicant tracking software and equipping them with next-gen AI functionality. SmartRecruiters’ platform serves as the hiring operating system for 4,000 customers, including Bosch, LinkedIn, and Visa. Companies with business-critical hiring needs turn to SmartRecruiters for best-of-breed functionality, world-class support, and a robust ecosystem of third-party applications and service providers.

We are a values-driven, globally focused tech employer with strong financial backing. By solving the biggest problems, we focus our efforts on what matters most, driving real impact for our organization and customers. For the past three years, we’ve been recognized as a strategic leader in recruitment technology by Fosway Industry Analysts. In 2023 and 2024, we received prestigious awards from Comparably for being a top company for Women, Perks, and Benefits, Work-Life Balance, Happiness, Compensation, Diversity, Culture, and Company Outlook.

At our core, we commit and dig deep, embracing challenges with grit, curiosity, and a drive for excellence. We foster a collaborative and inclusive work environment, where trust and determination bring us together - because together, we will win. With competitive salaries, generous equity, and strong internal mobility, we ensure that high performers have meaningful growth opportunities. Our remote-friendly culture is welcoming, respectful, and built to empower every team member to thrive.

Job Description

Contract Type: 12-Month Fixed-Term Contract

We’re looking for a technical engineer to support our customers’ needs in an area of data migrations, integrations, custom reports, and automating manual processes for our teams. Our team stays ahead of challenging tasks of automating our current processes and helping our implementation team to automate theirs.

If you are looking for the place where you can have a real impact on the shape of business solutions, you are curious and like learning new, modern approaches and constantly optimizing processes, you have just found the right place, apply now!

The main goal of our Team is to make our customers happy and successful. We process data for them and provide data directly from public / internal APIs or databases to them or other teams.

What you will do:

• Perform data imports from various sources using Talend ETL tool, Python scripts and Public / Private APIs
• Perform data extracts and data dumps
• Build ability to create demo environments
• Build data import applications
• Build integrations between different, external web applications
• Improve and optimize data services processes
• Work closely with the Professional Services team based in San Francisco to address customers’ requests
• Become an expert in your area of interest and evangelize your colleagues

Qualifications

Qualifications

At least 2 years of experience with ETL tools (Talend preferred)

• At least 1 years of experience in professional programming (Python: pandas, requests, fastAPI, flask)
• Experience with databases (SQL, NoSQL)
• Experience with Git/Github, http(s) protocol, web applications security
• Experience in building integrations between different web applications
• Knowledge of different aspects of building RESTful web services
• Team player
• Fast learner and a passion for technology

Additional Information

SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. your information will be kept confidential according to EEO guidelines.

Job Description:A purposeful career is what you will find at Q-Centrix. Making a meaningful impact is what we do every day. Quality data abstraction has become critical in identifying positive patient outcomes as the healthcare industry shifts to value-based care. In fact, medical record abstraction is the preferred data collection method for clinical research, quality improvement, performance measurement, disease surveillance, and other secondary data uses. Our dedicated data abstractors, otherwise known here at Q-Centrix as Senior Clinical Data Specialists, SCDS uses Q-Centrix proprietary technology to contribute to healthcare’s most exciting advancements.

Job Summary:The Data Abstraction Specialist (SCDS - Senior Clinical Data Specialist) delivers quality solutions to hospital partners across the country. They approach each hospital engagement as an opportunity to apply their clinical expertise with precision to advance patient outcomes and research. Find your purpose by joining the Q-Centrix team to make a meaningful impact!

Main Duties/Responsibilities: Our Data Specialists are staffed with multiple hospital partners to…

• Apply specialized, clinical knowledge to hospital partners: categorize, code, summarize, interpret and calculate registry/case information from nuanced, patient medical records.
• Ensure quality submission of all data in specified registries or measure data repositories, maintaining a high accuracy threshold.
• Prioritize, organize, and meet tight deadlines for multiple concurrent tasks and team requests; uses tact and judgement to manage expectations, flag obstacles and propose solutions in a timely manner.
• Navigate new technical systems: electronic medical records (EMR) and registry/case entry tools; use team resources to troubleshoot technical issues with systems and applications with a focus on solutions.
• Contribute to team best practices, data dictionaries, abstraction guidelines, and other business rule documents; identifies process improvement opportunities to help streamline tasks and processes.
• Keeps up to date on mandated regulatory/publicly reported data requirements as specified by federal, state, payer and other agencies.
• Any or other additional responsibilities as assigned

Required Qualifications:

• At least of one direct abstraction experience in the Get With the Guidelines Stroke registry.
• Exposure to multiple patient medical record systems (EMRs) and clinical databases
• Intermediate proficiency with MS Office (Excel, Word, Teams, One Note, and SharePoint)
• Strong analytical and critical thinking skills to approach problems in a systematic method
• Demonstrates high standards for accuracy and attention to detail
• Demonstrates technical savvy and strong desire to learn new systems and technology
• Thrives working independently and takes ownership of projects/patient records
• Consistently and clearly communicates, adjusting style and tone as needed to effectively collaborate with hospital partners, peers, team leads and others
• Demonstrates strong self-organizational and time management skills to concurrently manage multiple accounts, adjusting as needed to shifting timelines and priorities
• Ability to adapt to changes in hospital partner timelines, requirements, and project assignments
• Maintains a high degree of responsibility in keeping PHI secure and confidential

Applicants for employment with Q-Centrix must be legally authorized to work in the United States now or in the future without sponsorship.

Preferred Qualifications:

• Direct clinical experience
• RN or LPN credentials

Total Rewards:

At Q-Centrix, our purpose—safer, consistent, quality healthcare for all—drives everything we do. To accomplish this important work, we need to attract, engage, and retain a talented team by providing a compelling, equitable rewards package comprised of an inclusive culture, flexible work environment, learning and development opportunities, competitive pay that rewards high performance, and robust benefits that support health and financial wellness. Add to this package a supportive community of people who help each other not only do meaningful work, but learn, grow, and have fun while doing so, and you get an organization that has earned the Great Place to Work distinction multiple years in a row!​

The target wage range for this role is $27.00 - $31.00 per hour. Individual wage rates within this range are based on multiple factors including but not limited to skills, experiences, licensure, certifications, and other business and organizational considerations. Wage ranges are reviewed, at minimum, annually and all team members are eligible for performance-based wage rate increases annually. The Q-Centrix compensation plan is productivity and accuracy focused, therefore, actual compensation could be higher or lower than target, dependent upon the team member’s performance.

In addition to our inclusive and innovative working environment and competitive pay, part-time* team members enjoy a fully remote work environment with a flexible schedule.

*Team members who are committed to work 29 hours or fewer each week are considered part-time

Commitment to Diversity, Equity, Inclusion and Belonging:

At Q-Centrix (An MRO Company), we hire people who love learning, value innovation, and believe in our purpose of safer, consistent, quality health care for all. We applaud qualified applicants who are accountable and committed to producing quality work. As an Equal Opportunity Employer, we support and value diversity, dignity, and respect in our work environment, and are committed to creating an inclusive environment in which everyone can thrive.

We employ people based on the needs of the business and the job, and their individual professional qualifications. Here’s what does not impact our employment decisions: race, religious creed, religion, color, sex, sexual orientation, pregnancy, parental status, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status, health, marital, civil union or domestic partnership status, or any status or characteristic protected by the laws or regulations in locations where we operate. If you are an individual with a qualified disability and you need an accommodation during the interview process, please reach out to your recruiter.

Candidate Privacy Statements

THE BIGGEST NAME IN HOME. THE BOLDEST TEAM IN E-COMMERCE.

Ashley Digital is the e-commerce engine behind Ashley Furniture Industries — one of the most recognized home brands in the world. As the world’s largest manufacturer of home furnishings and the largest furniture store brand in North America, Ashley is in a category unto itself. Our team sits at the intersection of world-class retail and digital innovation, driving the e-commerce experience for millions of customers across every platform and touchpoint. If you’ve shopped online for a mattress in the last decade, there’s a good chance you’ve already experienced our award-winning Nectar Sleep and DreamCloud. We’re a fast-moving, highly collaborative team operating at a transformational moment, and we’re charged with shaping how people discover, explore, and buy home furnishings. Our expertise spans data science, performance marketing, product, and creative, and our work reaches millions of customers every day. It’s a rare combination: the energy of a tech company, the stability of an industry leader, and the opportunity to build something truly significant. If you’re energized by transformation, collaboration, and meaningful impact at scale, Ashley Digital is where ambition meets opportunity.

To be considered for this remote opportunity, you must reside and be authorized to work within the United States.

About the Role:

We’re looking for a highly strategic and analytical Business Analytics Director, Retail to join the Ashley Digital data team. This role sits at the intersection of data, retail strategy, market intelligence, and business decision-making. This is a high-impact role for someone who enjoys tackling complex business challenges and driving meaningful change through analysis, strategic recommendations, and cross-functional influence. The ideal candidate combines strong analytical rigor with strategic thinking and is equally comfortable building analyses, conducting market research, influencing stakeholders, and shaping long-term business strategy.

What You’ll Be Doing:

• Analyze retail performance across stores, regions, customer segments, and channels to identify growth opportunities and operational inefficiencies.
• Develop strategic recommendations around store footprint optimization, expansion opportunities, market selection, cannibalization, retail vs. wholesale/channel strategy, pricing, and promotional effectiveness.
• Conduct competitive and market intelligence research, including competitor expansion, pricing and assortment strategies, local market dynamics, and emerging retail trends.
• Evaluate the optimal balance between digital and physical retail, including the impact of stores on customer acquisition, market penetration, fulfillment economics, and overall business performance.
• Lead complex analytical projects from problem definition through recommendation and execution support.
• Partner closely with marketing, merchandising, finance, operations, and executive leadership to support strategic planning and key business decisions.
• Identify data gaps and help shape the analytical foundations required to support more effective decision-making.
• Build analytical frameworks, business cases, and executive-ready presentations that influence strategic direction.
• Drive cross-functional initiatives and help move critical business priorities forward through data-driven insights and strong stakeholder management.
• Lead the evaluation of emerging retail technologies, analytics solutions, and data partnerships to improve customer experience, store performance, and revenue growth.

The responsibilities described above are not exhaustive. You may be asked, from time to time and as reasonably required by business needs, to perform other duties consistent with your skills and role, including work for or on behalf of our related entities. This job description does not constitute a contract of employment and may be modified at any time, subject to applicable law.

Skills & Qualifications:

• 7-10 years of experience in analytics, business intelligence, data-driven strategy, or related fields, with a proven track record of translating complex data into business recommendations.
• A Bachelor’s Degree in Business Analytics, Data Analytics or related field
• Exceptional analytical and problem-solving skills, with the ability to structure ambiguous business questions into actionable analyses and recommendations.
• Experience working directly with large datasets and analytical tools to generate insights and support decision-making.
• Strong understanding of retail, e-commerce, omnichannel businesses, or consumer-facing industries.
• Highly proactive, hypothesis-driven, and comfortable operating independently in a fast-paced environment.
• Strong executive communication skills with experience presenting insights and recommendations to senior leaders.
• Ability to influence without authority and drive alignment across cross-functional teams.
• Deep curiosity about consumer behavior, market dynamics, and competitive strategy.
• Experience at firms such as McKinsey, Bain, BCG, or in-house strategy and analytics organizations is a strong plus.

What We Offer (subject to eligibility requirements):

• Remote-first workplace (since 2016!)
• Competitive Salary
• Health, Vision & Dental Insurance
• HSA company contributions
• 401K with company match component
• Take what you need Paid Time Off
• Wellness benefits
• WFH office and cell phone/internet stipend
• A FREE MATTRESS plus an awesome Friends and Family discount!

If you reside in a state or location where pay transparency laws or regulations have been adopted please read the following: The salary for this position is $135,000 - $165,000. We carefully consider a wide range of compensation factors, including your background, skills, qualifications, experience, geographic location and other non-discriminatory factors. These considerations can cause your compensation to vary. [Additionally, this role might be eligible for discretionary bonuses or commission payments]. For more information regarding the pay range applicable for this position, please contact us at People@residenthome.com

Ashley Digital is a privately-held company headquartered in Tampa, FL with offices in New York City, London and Tel Aviv.  Learn more at: https://www.residenthome.com

Ashley Digital is committed to a policy of equal employment opportunity, and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Ashley Digital is proud to be a remote-first company and maintains policies to support our unique flexible work location culture. However, there are a few important parameters to our work-from-home-culture: While we currently employ Residents in over 30 US states and 3 countries, if you are hired, you may be restricted to working from the state or country in which you currently reside, unless the state or country to which you plan to relocate is one in which we already operate and no other restrictions apply to the role. As with anything, we encourage an open dialogue about your current location and potential desired relocation during the interview process and upon hire, if applicable, and the extent any other restrictions apply to a particular role. We reserve the right to deny relocation requests post-hire for any reason.

#LI-REMOTE

Ashley Digital participates in E-Verify.

LOCALIZACIÓNMedellín o remoto RESUMEN Buscamos una persona analítica.

Category: Other Location: Pasig City National Capital Region Philippines OutForce is a people-first outsourcing company focused on buildinghigh-performing teams and long-term careers.

More than 135 years ago, we started with core values that never go out of style: listen, learn and help businesses and individuals reach their goals. These core values shape our culture, and we were recently Great Place to Work Certified because of our outstanding workplace culture and employee experience. As well, our financial strength and stability are key reasons Forbes named us one of the Best 100 Banks in America for the ninth consecutive year.

With more than $16 billion in assets and 135 branch locations throughout Washington, Oregon, Idaho, and California, we understand our role in the economy and take that responsibility seriously. In addition to offering a source of capital to personal banking clients and businesses of all sizes, we place a high importance on employee volunteerism and donate millions of dollars each year to community organizations.

As a Credit Analyst, you play a key role in helping the bank make sound, responsible lending decisions that support our clients and communities. Your analysis and insights help balance growth with risk, ensuring every credit decision is thoughtful, compliant, and well supported. This is a great opportunity to deepen your financial expertise while working alongside experienced banking professionals.

In this role you’ll

• Investigate credit and financial information for prospective and existing commercial clients.
• Analyze business and personal financial statements, tax returns, cash flow, collateral, and sources of repayment.
• Prepare credit approval packages, spreadsheets, summaries, and written analyses for loan decision makers.
• Support new, renewed, and existing loan requests ranging from simple to moderately complex.
• Ensure all work complies with internal policies, procedures, security requirements, and applicable regulations.

What we’re looking for

• You hold a Bachelor’s degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required).
• An equivalent combination of education and experience can be considered in lieu of a degree.
• You bring two or more years of related credit or financial analysis experience (Required).
• Ag analysis preferred

What helps you shine

• You’re comfortable analyzing financial statements, tax returns, and cash flow with a strong grasp of basic accounting principles.
• You bring solid analytical thinking and sound judgment to every credit investigation.
• You can manage high volumes of work accurately while adapting to shifting priorities in a deadline-driven environment.
• You communicate clearly and professionally, both in writing and in conversation.
• You understand federal and state regulations related to commercial lending.
• You are proficient in Excel, Word, and other applicable systems.

Travel

• 0%

Our Company Values

• Do the right thing
• Mutual respect
• Teamwork
• Accountability

What Our Team Says

“I have the opportunity to learn and grow every day in my current role. I love the work life balance, knowing that we work hard, and strive for high performance but we are celebrated.”

Compensation & Benefits

• Targeted starting salary range (based on experience): $30.34- 39.98
• Annual incentive potential
• Comprehensive employee benefits, including: medical, dental, vision, LTD, STD and life
• Paid vacation time, sick time and 11 company paid holidays
• 401k (with up to 4% match)
• Tuition reimbursement

Review Banner’s employee benefits at: Employee Benefits | Banner Bank

Please take time to review Banner Bank’s Consent & Privacy notice before applying.

Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, marital status, age, disability or protected veteran status.

Banner Bank does not accept unsolicited resumes from agencies and/or search firms for any job postings. Resumes submitted to any Banner Bank employee by a third-party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Banner Bank. No fee will be paid if a candidate is hired for a position as a result of an unsolicited agency or search firm referral.

As a Purchasing and Supply Chain Analyst, you will play a key role in driving operational efficiency, profitability, and data-driven decision-making across the organization’s inventory and purchasing functions. By analyzing supply chain data, developing actionable insights, optimizing purchasing processes, implementing reporting and KPI monitoring systems, and integrating vendor data into business platforms, you will help improve inventory performance, fulfilment efficiency, and cost control while supporting business growth. Working closely with cross-functional stakeholders, you will identify process improvement opportunities, enhance data accuracy, and ensure the organization has the insights needed to make informed purchasing and supply chain decisions in a fast-paced e-commerce environment.

Company Profile:

Our client is a US-based e-commerce company that markets high-dollar, highly technical products to end-user consumers (homeowners). They are a family of companies that have been in the HVAC business for over 75 years.

Fast online growth and continued business success have driven the expansion of our client’s team. As they continue to scale, they are looking for a results-oriented Purchasing and Supply Chain Analyst based in the Philippines who is passionate about leveraging data to optimize inventory, purchasing, and supply chain operations.

This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex business challenges through data analysis, and is committed to improving operational efficiency and supporting sustainable business growth.

Duties and Responsibilities:

Vendor Supply Chain Management

•Integrate and maintain vendor stock levels into ERP and web management systems

•Ensure data accuracy and availability for forecasting and e-commerce support

•Create and maintain data-centered ranking system to identify preferred vendors

Purchasing & Vendor Review and Support

•Establish and analyze KPIs for suppliers and overall purchasing process

•Analyze vendor spend data to identify opportunities for more strategic purchasing decisions. (Ie buying same product from multiple vendors)

•Highlight areas for cost savings, consolidation, or renegotiation.

•Create and execute RFPs using data-driven insights

•Provide ad hoc and strategic data support to purchasing & inventory teams

•Translate complex data into actionable insights for decision-making

•Create and maintain forecasts and budgets for inventory and purchasing

SKU Reconciliation, Consolidation, and Inventory Data Maintenance

•Consolidate commodity part #s across different vendors

•Reconcile parts #s for new versions of equipment components

•Auditing and updating inventory status and reorder rules and standards within ERP and web management systems (ie policing items eligible or not eligible for back order, reorder, drop-ship, and stocking)

Data Analysis of Stock Position vs. Sales Velocity and Marketing Traffic

•Analyze the correlation between inventory, sales velocity, and marketing visibility

•Identify and predict sales trajectory of slow-moving items as well as items over-selling vs projections; compare site traffic, price competitiveness, and marketing traction; conduct root cause analysis

•Reporting and analysis of slow-moving inventory and related marketing activities

Must-have Skills / Qualification:

•Minimum of 2 years of experience in a Supply Chain Analyst, Purchasing Analyst, Inventory Analyst, or similar analytical role

•Advanced Microsoft Excel proficiency, including the ability to build complex formulas, analyze large datasets, and create meaningful reports

•Strong data analysis and reporting skills, with the ability to interpret data and provide actionable business insights

•Experience using ERP systems to extract, analyze, and report on purchasing, inventory, or supply chain data

•Experience in at least one of the following supply chain functions: forecasting and demand planning, inventory management, inventory allocation strategies, or replenishment planning

•Strong English communication skills, both verbal and written, with the ability to collaborate effectively with cross-functional teams

•Demonstrated ability to validate data accuracy, identify trends and anomalies, and proactively provide recommendations rather than simply generating reports

•Strong analytical thinking, attention to detail, and problem-solving skills

Nice-to-have / Advantageous Skills:

•Experience using Acumatica ERP

•Vendor management experience

•Experience working in the eCommerce industry

•Familiarity with inventory optimization, purchasing KPIs, or supply chain performance metrics

General information Requisition # R69163 Locations USA-Remote Work Posting Date 07/07/2026 Security Clearance Required None Remote Type Fully Remote Time Type Full time Description & Requirements Elevate your career with...