About Sittercity

Sittercity, a Bright Horizons company, is a technology platform working to reimagine the child care industry. Finding, hiring and managing high-quality, trustworthy and enriching child care has never been simple, for parents or caregivers. We want to change that. At Sittercity, you can imagine and create solutions that will revolutionize a multi-billion industry and bring relief to parents and care providers alike, all while having a lot of fun! Boost your career as we launch into our next phase of growth and help build a platform that changes the way child care works.

The Opportunity

As an Analytics Manager working with our marketing and product operational teams, you will be instrumental in helping Sittercity achieve its mission to make child care finally work. You will join our analytics organization, which powers data-driven decision making throughout Sittercity. In this role, you will work closely with our business teams to shape strategy and drive growth at the company.

Key Responsibilities

• Investigate business questions and provide teams with actionable insights that drive value
• Maintain and augment our data model and Looker instance to enable company-wide data literacy
• Communicate with executives and key stakeholders through presentations, well-designed data visualizations and interactive dashboards
• Define testing frameworks and success criteria to quantify performance and inform strategy
• Build unit-economic models for a subscription business including marketing attribution, retention, cohort forecasting, and customer segmentation
• Partner with Product and Engineering to improve tracking within our applications, allowing for better visibility into customer behavior

Required Qualifications

• Analytically minded, focused on the business implications of data
• Experience presenting technical concepts to non-technical audiences
• Proficiency in SQL and familiarity with relational databases
• Advanced Excel skills
• Bachelor’s Degree or equivalent experience
• 3-4+ years of experience in a data-driven field (analytics, consulting, digital advertising, eCommerce etc.)

Desired Qualifications

• Familiarity with scripting languages that support data manipulation (Python preferred)
• Experience creating data visualizations and interactive dashboards (Looker preferred)
• Experience designing and measuring A/B tests in a product or marketing capacity
• Experience using raw event data in analysis

Why you should join us

Recognized as one of the best places to work by Built In Chicago, we offer an inclusive, innovative, and fun environment that rewards passionate and curious individuals. You will have an opportunity to influence our [product and technology] in an entrepreneurial environment with enterprise backing that has a huge impact on the childcare industry.

Salary and Other Compensation Disclosures

The annual starting salary for this position is between $110,000 - $120,000 annually. The pay range listed here is what Sittercity in good faith anticipates offering for this job opening. Actual compensation offered within this range will depend on a variety of factors including experience, education and training, certifications, geography, and other relevant business or organizational factors. This position is also eligible for bonus awards.

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, and short-term disability insurance. Also, depending on hire date and subject to applicable eligibility requirements and accrual schedules, new employees in this role receive up to: 9 paid holidays annually; 40 hours of sick time per year based on full-time schedule, and 80 hours of vacation time per year based on full-time schedule (vacation time may be used for sick leave purposes under any applicable state or local sick or safe time law).

Perks:

• Remote Role
• Company events, social outings and volunteer opportunities
• Tuition assistance, college coach, and enhanced family support
• Sittercity membership, backup child/adult/elder care, and childcare center discounts

Sittercity is committed to hiring a diverse workforce.  We consider all applicants for employment without regard to race, color, sex, sexual orientation, gender identity, religion, age, national origin, disability, veteran status, or any other basis as prohibited by federal, state or local law. Sittercity participates in E-Verify and background checks all employees.

This role must be performed remotely in IL, MA, NJ, NY, OH, OR, TX, CO, NH, VT, WA, WI, FL,GA

This posting is anticipated to remain open until October, 2026.

Description

Who are we, and why are we hiring?

We’re based on over 15 years of success, producing world-class video content and building, developing, and managing a number of high-traffic websites. Our award-winning content and websites are created exclusively by us and directly for the use of millions of users worldwide. At Kodify, we’re not just pushing boundaries in online entertainment—we’re rewriting the script! Our goal is to empower our people with everything they need to pioneer innovation in our industry. Our culture is our secret sauce, and we’re committed to preserving and enhancing it every step of the way.

Join our crew, where the Kodify team is not just an asset, it’s our crown jewel. We prioritize their growth and well-being above all else, ensuring they’re set up for success and always inspired to deliver their best work.

As a rapidly expanding company with diverse hubs across the globe and over 20 vibrant national cultures, working with us means embracing thrilling challenges tailor-made for a star BI Engineer!

At Kodify, data is at the heart of how we make decisions. From product and marketing to finance and operations, every team relies on trustworthy data delivered at the right time. We’re looking for a BI Engineer to sit exactly where the technical and the analytical meet — building the models and pipelines that produce the numbers, and the reporting and analysis that make those numbers useful to the business.

What will you do?

• You’ll work on a data platform that supports products serving close to 100M unique visitors a month.

• Reporting & dashboards - Design and own dashboards that people actually use to make decisions. Not screenshot factories, living products with an owner and a purpose.

• Analysis - Answer real business questions end to end: LTV and retention, subscriptions, sales volume and take rate, production and content performance. Find the “why” behind the number, and say so clearly.

• Modeling - Build and maintain dbt models, staging through marts. Conventions, tests, and documentation included, not bolted on later.

• Pipelines - Work on our Python ETL: ingestion from billing APIs, Postgres, MongoDB, and our columnar layer. Build new sources, fix what’s fragile, and improve error handling and observability.

• Quality - Test your own work and validate numbers before a stakeholder does. If a dashboard is wrong, you care.

• Stakeholders - Translate vague asks into scoped questions. Push back on requests that shouldn’t be built, and propose the version that should.

• Enablement - Help business teams answer their own recurring questions, so capability moves out of BI rather than piling up inside it.

• Duties - Becoming a valued team member, providing feedback about tech, development lifecycle and processes. Take ownership of your code / task / role.

• Goal - Be the reason the business trusts its numbers — and be one of the driving forces behind always making it better.

Requirements

• Experience as a BI Engineer, Data Engineer, Analytics Engineer, Data Analyst with engineering depth, or similar. Comfortable on both sides of the line.

• Strong SQL, ideally PostgreSQL: complex transformations, window functions, and enough performance awareness to know why your query is slow.

• Solid Python for data work: pipelines, scripting, APIs, data manipulation. You can pick up an existing ETL codebase and extend it.

• Experience with dbt: models, tests, macros, and documentation, working within an existing project’s conventions.

• Production experience with a BI/visualization tool (Superset, Tableau, Power BI, Looker, or similar), including the modeling layer underneath it, not just the drag-and-drop.

• Solid building experience using AI - understanding AI harnessing best practices such asclaude.md, hooks, skills, rules, mcps, plugins etc.

• Genuinely up to date on where AI is going: you follow what’s changing in models, agents, and tooling, and you have opinions about what’s useful versus hype. We expect you to use AI daily and to bring new ways of working to the team, not wait to be shown them.

• Experience working with dimensional / analytical models and warehouses.

• Comfort with Git, code review, and modern software engineering practices applied to data.

• Genuine business curiosity. You want to know how the company makes money, not just what the schema looks like.

• Clear communication with non-technical stakeholders. You can explain a discrepancy without hiding behind the pipeline.

• Strong sense of ownership. You don’t wait to be told something is broken.

• A team player who likes to help others and solve problems together.

• Investigation of new technologies.

• You have a real ‘Can Do’ work ethic - We are results-based, not clock-based!

• You love to have fun while you work!

Nice to have:

• Experience with a columnar/analytical database (ClickHouse, BigQuery, Snowflake, Redshift or similar)

• Exposure to a semantic/metrics layer (Cube.dev, dbt MetricFlow, LookML, or similar)

• Web analytics experience: event tracking, funnels, attribution, session and behavioural data (GA4, Amplitude, Mixpanel, or similar)

• MongoDB as a source system

• Data cataloging, documentation, or lineage tooling (OpenMetadata, DataHub, or similar)

• Docker

• AWS

• Experience with high-traffic / high-volume data environments

• Understanding of Agile principles

• Experience working remotely

Where and when:

From wherever you want, the position is fully remote in the EU.

We’re very flexible about when you get your work done, but we do have some core hours where we like to overlap in order to promote collaboration and low-latency communication between team members (10:00 to 15:00 CET/CEST). Our daily virtual stand-ups are important for us but other than that, you’re free to manage your own time.

What we offer:

• Fully remote position or, if preferred, working in our awesome Barcelona office!

• Agile environment

• Top-notch tech stack!

• Flexible working hours + core hours!

• 10% on top of your salary for learning and development - of your choice!

• Latest tech equipment - Macbook Pro

• Company Amazon book account!

• Kodify off-sites, on-sites, events, and team activities!

• Amazing international team!

• 1 day off on your birthday

• Generous vacation and personal days

• 1 month paid sabbatical after 3 years

• Health & Wellness budget

Description

Who are we, and why are we hiring?

We’re based on over 15 years of success, producing world-class video content and building, developing, and managing a number of high-traffic websites. Our award-winning content and websites are created exclusively by us and directly for the use of millions of users worldwide. At Kodify, we’re not just pushing boundaries in online entertainment—we’re rewriting the script! Our goal is to empower our people with everything they need to pioneer innovation in our industry. Our culture is our secret sauce, and we’re committed to preserving and enhancing it every step of the way.

Join our crew, where the Kodify team is not just an asset, it’s our crown jewel. We prioritize their growth and well-being above all else, ensuring they’re set up for success and always inspired to deliver their best work.

As a rapidly expanding company with diverse hubs across the globe and over 20 vibrant national cultures, working with us means embracing thrilling challenges tailor-made for a star BI Engineer!

At Kodify, data is at the heart of how we make decisions. From product and marketing to finance and operations, every team relies on trustworthy data delivered at the right time. We’re looking for a BI Engineer to sit exactly where the technical and the analytical meet — building the models and pipelines that produce the numbers, and the reporting and analysis that make those numbers useful to the business.

What will you do?

• You’ll work on a data platform that supports products serving close to 100M unique visitors a month.

• Reporting & dashboards - Design and own dashboards that people actually use to make decisions. Not screenshot factories, living products with an owner and a purpose.

• Analysis - Answer real business questions end to end: LTV and retention, subscriptions, sales volume and take rate, production and content performance. Find the “why” behind the number, and say so clearly.

• Modeling - Build and maintain dbt models, staging through marts. Conventions, tests, and documentation included, not bolted on later.

• Pipelines - Work on our Python ETL: ingestion from billing APIs, Postgres, MongoDB, and our columnar layer. Build new sources, fix what’s fragile, and improve error handling and observability.

• Quality - Test your own work and validate numbers before a stakeholder does. If a dashboard is wrong, you care.

• Stakeholders - Translate vague asks into scoped questions. Push back on requests that shouldn’t be built, and propose the version that should.

• Enablement - Help business teams answer their own recurring questions, so capability moves out of BI rather than piling up inside it.

• Duties - Becoming a valued team member, providing feedback about tech, development lifecycle and processes. Take ownership of your code / task / role.

• Goal - Be the reason the business trusts its numbers — and be one of the driving forces behind always making it better.

Requirements

• Experience as a BI Engineer, Data Engineer, Analytics Engineer, Data Analyst with engineering depth, or similar. Comfortable on both sides of the line.

• Strong SQL, ideally PostgreSQL: complex transformations, window functions, and enough performance awareness to know why your query is slow.

• Solid Python for data work: pipelines, scripting, APIs, data manipulation. You can pick up an existing ETL codebase and extend it.

• Experience with dbt: models, tests, macros, and documentation, working within an existing project’s conventions.

• Production experience with a BI/visualization tool (Superset, Tableau, Power BI, Looker, or similar), including the modeling layer underneath it, not just the drag-and-drop.

• Solid building experience using AI - understanding AI harnessing best practices such asclaude.md, hooks, skills, rules, mcps, plugins etc.

• Genuinely up to date on where AI is going: you follow what’s changing in models, agents, and tooling, and you have opinions about what’s useful versus hype. We expect you to use AI daily and to bring new ways of working to the team, not wait to be shown them.

• Experience working with dimensional / analytical models and warehouses.

• Comfort with Git, code review, and modern software engineering practices applied to data.

• Genuine business curiosity. You want to know how the company makes money, not just what the schema looks like.

• Clear communication with non-technical stakeholders. You can explain a discrepancy without hiding behind the pipeline.

• Strong sense of ownership. You don’t wait to be told something is broken.

• A team player who likes to help others and solve problems together.

• Investigation of new technologies.

• You have a real ‘Can Do’ work ethic - We are results-based, not clock-based!

• You love to have fun while you work!

Nice to have:

• Experience with a columnar/analytical database (ClickHouse, BigQuery, Snowflake, Redshift or similar)

• Exposure to a semantic/metrics layer (Cube.dev, dbt MetricFlow, LookML, or similar)

• Web analytics experience: event tracking, funnels, attribution, session and behavioural data (GA4, Amplitude, Mixpanel, or similar)

• MongoDB as a source system

• Data cataloging, documentation, or lineage tooling (OpenMetadata, DataHub, or similar)

• Docker

• AWS

• Experience with high-traffic / high-volume data environments

• Understanding of Agile principles

• Experience working remotely

Where and when:

From wherever you want, the position is fully remote in the EU.

We’re very flexible about when you get your work done, but we do have some core hours where we like to overlap in order to promote collaboration and low-latency communication between team members (10:00 to 15:00 CET/CEST). Our daily virtual stand-ups are important for us but other than that, you’re free to manage your own time.

What we offer:

• Fully remote position or, if preferred, working in our awesome Barcelona office!

• Agile environment

• Top-notch tech stack!

• Flexible working hours + core hours!

• 10% on top of your salary for learning and development - of your choice!

• Latest tech equipment - Macbook Pro

• Company Amazon book account!

• Kodify off-sites, on-sites, events, and team activities!

• Amazing international team!

• 1 day off on your birthday

• Generous vacation and personal days

• 1 month paid sabbatical after 3 years

• Health & Wellness budget

Job Title: Operational Business Analyst & Incident Manager Location Preference: 100% remote in LATAM working EST Time Zone Duration: 1-Year Assignment with possibility of extension Freelance Rate Range: $27-28/hr USD based on relevant...

Job Title: Operational Business Analyst & Incident Manager Location Preference: 100% remote in LATAM working EST Time Zone Duration: 1-Year Assignment with possibility of extension Freelance Rate Range: $27-28/hr USD based on relevant...

Duration: This is a ~4 month contract opportunity

Included Health is hiring a Workforce Analytics Model Standardization Consultant to improve the reliability, maintainability, and usability of the Google Sheets-based models that support workforce planning, forecasting, FP&A, and Care Operations. This is a hands-on role for someone who has built spreadsheet tools that other teams depended on, can reverse-engineer undocumented models, and can work inside a live monthly production cycle without disrupting it.

The consultant will partner with Workforce Analytics, FP&A, Care Operations, HRIS, Data Engineering, and other stakeholders to standardize high-burden models, document historical sources of truth, support recurring workflows, and create consistent pre-read outputs for operational and financial decision-making.

Responsibilities:

Model Standardization & Cleanup

• Bring high-burden Google Sheets models up to team standards for structure, readability, maintainability, and traceability.

• Audit interconnected spreadsheets, identify broken or fragile dependencies, clarify inputs and outputs, and reduce unnecessary complexity without changing sound forecasting methodology.

• Establish consistent conventions for tabs, formulas, input areas, assumptions, checks, file naming, permissions, and handoff materials.

• Review models for data integrity, formula consistency, broken links, stale inputs, hard-coded values, and other issues that could create production risk.

• Preserve business logic that is working while making the model understandable and operable by someone other than its original author.

Documentation & Archiving

• Reverse-engineer undocumented or lightly documented models and write clear, practical documentation explaining how they work.

• Document source data, refresh steps, dependencies, assumptions, business rules, key calculations, outputs, known limitations, and common failure modes.

• Organize Google Drive folders and model inventories so current working files, reference files, archived versions, and historical sources of truth are clearly distinguished.

• Identify and archive stale or redundant versions while preserving the historical files needed for auditability, trend analysis, and retrospective review.

• Create handoff materials that enable an analyst to run, troubleshoot, and maintain the work after the engagement ends.

Cycle & Workflow Support

• Support the recurring workforce planning and forecasting cycle, which runs roughly from the 20th through the 10th of each month.

• Handle routine manual ingestion, file preparation, formatting, reconciliation, and quality-check tasks so senior analysts can focus on interpretation and decision support.

• Work carefully within live production processes, escalating issues early and protecting deadlines for FP&A and Operations deliverables.

• Help clarify and improve Jira workflow structure where it supports intake, tracking, prioritization, review, and completion of analytics work.

• Create lightweight checklists and repeatable procedures for recurring tasks, with clear ownership and escalation paths.

Governance Delivery

• Develop standardized model outputs and reusable templates for FP&A and Operations pre-reads.

• Meet with stakeholders to understand what they need to review, decide, and act on—not just what they initially ask to receive.

• Draft recurring monthly outputs, gather feedback, and turn useful patterns into consistent templates and operating standards.

• Improve traceability from source data and assumptions through model outputs and executive or operational reporting.

• Apply practical quality controls, peer-review steps, versioning conventions, and documentation standards appropriate for workforce and financial planning work.

Quality Delivery

• Maintain sufficient hands-on proficiency in advanced Google Sheets, SQL or equivalent data-querying tools, and spreadsheet-based forecasting workflows to independently investigate and resolve issues.

• Pull and validate source data rather than relying exclusively on prepared extracts or analyst-provided datasets.

• Produce work that is accurate, reproducible, well documented, and usable under deadline pressure.

• Use Apps Script, light Python, or other automation selectively when it improves reliability or reduces repetitive work without introducing unnecessary operational risk.

• Respect the privacy, sensitivity, and appropriate use of people and workforce data throughout the engagement.

Engagement Scope and Deliverables:

This is a named-person, scoped project with a hard end date. As a consultant, you will be expected to own defined workstreams and leave behind durable improvements, not simply provide general staff augmentation or recommendations.

Expected deliverables may include:

• Standardized and cleaned Google Sheets models, with documented changes and known limitations.

• A model inventory identifying current working files, dependencies, owners, refresh cadence, and canonical historical sources.

• Archived and organized Google Drive folders with clear naming and version conventions.

• Practical runbooks and handoff documentation for recurring models and workflows.

• Repeatable ingestion, reconciliation, and quality-check procedures for the monthly cycle.

• Standardized FP&A and Operations pre-read templates and supporting model outputs.

• Recommended Jira workflow structures or updates where needed to support analytics intake and delivery.

Requirements:

• 6+ years in analytics, workforce planning, FP&A analytics, operations analytics, or a related data-focused field, with experience owning projects end to end.

• Demonstrated experience building spreadsheet tools that other people relied on and maintaining them through real operating cycles.

• Advanced proficiency in Google Sheets, including complex formulas, interconnected files, data validation, error handling, performance considerations, and cross-file references at scale.

• Direct experience reverse-engineering another person’s undocumented or poorly documented spreadsheet model and explaining how it works to someone else.

• Experience supporting FP&A, workforce planning, demand forecasting, capacity planning, or a similar recurring planning process where traceability and deadline discipline matter.

• Ability to pull, inspect, and validate data independently using SQL or an equivalent querying or data-extraction tool.

• Strong stakeholder-discovery skills, including the ability to extract requirements from partners who have not yet articulated a clean specification.

• Experience documenting and handing off work successfully, with specific examples of teams continuing to operate the tools after the consultant or analyst left.

• Ability to work inside a live production cycle, manage competing deadlines, and escalate risks before they affect monthly deliverables.

• Strong written and verbal communication skills, with the ability to explain model logic and data issues clearly to both technical and non-technical stakeholders.

• Willingness to perform detailed, repetitive, and operationally necessary work, including file organization, version cleanup, archiving, reconciliation, and formatting.

Preferred Qualifications:

• Experience building and leading forecasting or analytics teams, including setting priorities, establishing delivery standards, coaching analysts, and creating repeatable operating practices.

• Experience with Apps Script, Python, or another scripting language for lightweight data analysis or workflow automation.

• Experience establishing model governance, version-control practices, documentation standards, review checklists, or audit-ready controls.

• Experience working in a regulated, audited, SOX-adjacent, healthcare, financial services, or similarly controlled environment.

• Experience with Jira workflow design for analytics intake, triage, prioritization, review, or delivery.

• Experience producing recurring pre-reads or standardized planning packages for Finance, Operations, or executive stakeholders.

• Familiarity with workforce management, contact center, clinical operations, care delivery, or other environments where demand, staffing, capacity, and productivity are closely connected.

The United States hourly range for this full time, contract position is $85/hour - $100/hour.

Below is additional information on Included Health’s commitment to maintaining transparent and equitable compensation practices across our distinct geographic zones.

Starting hourly rate for you will depend on several job-related factors, unique to each candidate, which may include education; training; skills; years and depth of experience; certifications and licensure; our needs; internal peer equity; organizational considerations; and understanding of geographic and market data. Compensation structures and ranges are tailored to each zone’s unique market conditions to ensure that all contractors receive fair and great compensation based on their roles and locations. Your Recruiter can share your geographic zone upon inquiry.

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

---–

Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, and California law.

Included Health uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions—final decisions are made exclusively by our recruiting and hiring teams.

Duration: This is a ~4 month contract opportunity

Included Health is hiring a Workforce Analytics Model Standardization Consultant to improve the reliability, maintainability, and usability of the Google Sheets-based models that support workforce planning, forecasting, FP&A, and Care Operations. This is a hands-on role for someone who has built spreadsheet tools that other teams depended on, can reverse-engineer undocumented models, and can work inside a live monthly production cycle without disrupting it.

The consultant will partner with Workforce Analytics, FP&A, Care Operations, HRIS, Data Engineering, and other stakeholders to standardize high-burden models, document historical sources of truth, support recurring workflows, and create consistent pre-read outputs for operational and financial decision-making.

Responsibilities:

Model Standardization & Cleanup

• Bring high-burden Google Sheets models up to team standards for structure, readability, maintainability, and traceability.

• Audit interconnected spreadsheets, identify broken or fragile dependencies, clarify inputs and outputs, and reduce unnecessary complexity without changing sound forecasting methodology.

• Establish consistent conventions for tabs, formulas, input areas, assumptions, checks, file naming, permissions, and handoff materials.

• Review models for data integrity, formula consistency, broken links, stale inputs, hard-coded values, and other issues that could create production risk.

• Preserve business logic that is working while making the model understandable and operable by someone other than its original author.

Documentation & Archiving

• Reverse-engineer undocumented or lightly documented models and write clear, practical documentation explaining how they work.

• Document source data, refresh steps, dependencies, assumptions, business rules, key calculations, outputs, known limitations, and common failure modes.

• Organize Google Drive folders and model inventories so current working files, reference files, archived versions, and historical sources of truth are clearly distinguished.

• Identify and archive stale or redundant versions while preserving the historical files needed for auditability, trend analysis, and retrospective review.

• Create handoff materials that enable an analyst to run, troubleshoot, and maintain the work after the engagement ends.

Cycle & Workflow Support

• Support the recurring workforce planning and forecasting cycle, which runs roughly from the 20th through the 10th of each month.

• Handle routine manual ingestion, file preparation, formatting, reconciliation, and quality-check tasks so senior analysts can focus on interpretation and decision support.

• Work carefully within live production processes, escalating issues early and protecting deadlines for FP&A and Operations deliverables.

• Help clarify and improve Jira workflow structure where it supports intake, tracking, prioritization, review, and completion of analytics work.

• Create lightweight checklists and repeatable procedures for recurring tasks, with clear ownership and escalation paths.

Governance Delivery

• Develop standardized model outputs and reusable templates for FP&A and Operations pre-reads.

• Meet with stakeholders to understand what they need to review, decide, and act on—not just what they initially ask to receive.

• Draft recurring monthly outputs, gather feedback, and turn useful patterns into consistent templates and operating standards.

• Improve traceability from source data and assumptions through model outputs and executive or operational reporting.

• Apply practical quality controls, peer-review steps, versioning conventions, and documentation standards appropriate for workforce and financial planning work.

Quality Delivery

• Maintain sufficient hands-on proficiency in advanced Google Sheets, SQL or equivalent data-querying tools, and spreadsheet-based forecasting workflows to independently investigate and resolve issues.

• Pull and validate source data rather than relying exclusively on prepared extracts or analyst-provided datasets.

• Produce work that is accurate, reproducible, well documented, and usable under deadline pressure.

• Use Apps Script, light Python, or other automation selectively when it improves reliability or reduces repetitive work without introducing unnecessary operational risk.

• Respect the privacy, sensitivity, and appropriate use of people and workforce data throughout the engagement.

Engagement Scope and Deliverables:

This is a named-person, scoped project with a hard end date. As a consultant, you will be expected to own defined workstreams and leave behind durable improvements, not simply provide general staff augmentation or recommendations.

Expected deliverables may include:

• Standardized and cleaned Google Sheets models, with documented changes and known limitations.

• A model inventory identifying current working files, dependencies, owners, refresh cadence, and canonical historical sources.

• Archived and organized Google Drive folders with clear naming and version conventions.

• Practical runbooks and handoff documentation for recurring models and workflows.

• Repeatable ingestion, reconciliation, and quality-check procedures for the monthly cycle.

• Standardized FP&A and Operations pre-read templates and supporting model outputs.

• Recommended Jira workflow structures or updates where needed to support analytics intake and delivery.

Requirements:

• 6+ years in analytics, workforce planning, FP&A analytics, operations analytics, or a related data-focused field, with experience owning projects end to end.

• Demonstrated experience building spreadsheet tools that other people relied on and maintaining them through real operating cycles.

• Advanced proficiency in Google Sheets, including complex formulas, interconnected files, data validation, error handling, performance considerations, and cross-file references at scale.

• Direct experience reverse-engineering another person’s undocumented or poorly documented spreadsheet model and explaining how it works to someone else.

• Experience supporting FP&A, workforce planning, demand forecasting, capacity planning, or a similar recurring planning process where traceability and deadline discipline matter.

• Ability to pull, inspect, and validate data independently using SQL or an equivalent querying or data-extraction tool.

• Strong stakeholder-discovery skills, including the ability to extract requirements from partners who have not yet articulated a clean specification.

• Experience documenting and handing off work successfully, with specific examples of teams continuing to operate the tools after the consultant or analyst left.

• Ability to work inside a live production cycle, manage competing deadlines, and escalate risks before they affect monthly deliverables.

• Strong written and verbal communication skills, with the ability to explain model logic and data issues clearly to both technical and non-technical stakeholders.

• Willingness to perform detailed, repetitive, and operationally necessary work, including file organization, version cleanup, archiving, reconciliation, and formatting.

Preferred Qualifications:

• Experience building and leading forecasting or analytics teams, including setting priorities, establishing delivery standards, coaching analysts, and creating repeatable operating practices.

• Experience with Apps Script, Python, or another scripting language for lightweight data analysis or workflow automation.

• Experience establishing model governance, version-control practices, documentation standards, review checklists, or audit-ready controls.

• Experience working in a regulated, audited, SOX-adjacent, healthcare, financial services, or similarly controlled environment.

• Experience with Jira workflow design for analytics intake, triage, prioritization, review, or delivery.

• Experience producing recurring pre-reads or standardized planning packages for Finance, Operations, or executive stakeholders.

• Familiarity with workforce management, contact center, clinical operations, care delivery, or other environments where demand, staffing, capacity, and productivity are closely connected.

The United States hourly range for this full time, contract position is $85/hour - $100/hour.

Below is additional information on Included Health’s commitment to maintaining transparent and equitable compensation practices across our distinct geographic zones.

Starting hourly rate for you will depend on several job-related factors, unique to each candidate, which may include education; training; skills; years and depth of experience; certifications and licensure; our needs; internal peer equity; organizational considerations; and understanding of geographic and market data. Compensation structures and ranges are tailored to each zone’s unique market conditions to ensure that all contractors receive fair and great compensation based on their roles and locations. Your Recruiter can share your geographic zone upon inquiry.

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

---–

Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, and California law.

Included Health uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions—final decisions are made exclusively by our recruiting and hiring teams.

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.

Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.

People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards.

About the role

As a Product Analyst II at HackerRank, you will own the end-to-end analytics for our products and platforms, working across AI-powered experiences, developer-facing products, content, community growth, or platform initiatives. This is not a BI reporting role — you will own and drive analytics initiatives end-to-end and act as a thought partner to Product, Engineering, Content, Design, and business stakeholders, helping answer not only “what happened?” but also “what should we build, improve, prioritize, or measure next?”

What you will do

• Own analytics for next-generation product(s), platform, content, AI, community, or growth areas.
• Define and evolve metrics across adoption, engagement, retention, satisfaction, usability, usage quality, and customer value.
• Analyze customer and developer journeys, segments, and feature-level behavior to identify opportunities and friction points.
• Evaluate the quality, effectiveness, and adoption of new content and AI-powered product experiences.
• Partner with Product, Engineering, Content, Design, and Marketing teams to define measurement plans and success criteria for new initiatives.
• Drive experimentation by framing hypotheses, sizing opportunities, designing experiments, interpreting results, and recommending next steps.
• Use AI agents as part of your daily analytics workflow, and analyze AI assistants/agentic workflows including usage, outcomes, cost, and usage-based pricing.

Who you are

• You have 3-6 years of full-time experience in product analytics, data science, growth analytics, consumer analytics, platform analytics, or a related field.
• You have advanced SQL skills and experience working with event, session, or clickstream-level product data.
• You are comfortable using Python for analysis and working with large, imperfect, or text-based datasets.
• You have a strong foundation in statistics, including hypothesis testing, confidence intervals, statistical significance, power analysis, sampling, regression, and causal inference.
• You understand funnels, cohort analysis, segmentation, retention, experimentation, and feature adoption.
• You can turn ambiguous business questions into structured analyses, clear recommendations, and measurable outcomes.

Even better if you have

• Familiarity with LLM product metrics, AI quality evaluation, or agent workflow analysis.
• Experience implementing or validating clickstream instrumentation; not only defining requirements for it.
• Experience measuring content quality, learning outcomes, developer workflows, or community engagement.
• Experience working with consumer tech, developer tools, learning platforms, marketplaces, or B2B SaaS products.

You will thrive if you

• You enjoy owning analytics initiatives end to end, from problem framing through impact measurement.
• You thrive in fast-paced environments where priorities evolve based on feedback and insights.
• You have a strong bias for action, experimentation, and continuous improvement in ambiguous environments.
• You enjoy working across product areas and building context quickly.
• You are great at collaborating with multiple stakeholders.

Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.

HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

Linkedin | X | Blog | Instagram | Life@HackerRank

Notice to prospective HackerRank job applicants:

• Our Recruiters use @hackerrank.com email addresses.
• We never ask for payment or credit check information to apply, interview, or work here.

Fleetworthy offers the only complete technology suite for fleet readiness, uniting safety and compliance, toll management, and weigh station bypass solutions. We help fleets streamline operations, control costs, and operate with confidence.

Trusted by 75% of the top fleets in North America, Fleetworthy offers the most adopted toll management solution and largest weigh station bypass network. Going beyond regulatory requirements, our safety and compliance capabilities strengthen safety programs and enable proactive audit readiness. We support millions of vehicles and drivers and are recognized across the industry for innovation and leadership.

Fleetworthy is shaping the future of fleet readiness with AI-enabled, connected fleet technology that keeps drivers safe, fleets compliant, and operations running at peak efficiency. Learn more at fleetworthy.com.

Join Fleetworthy’s Data Operations team as a Business Analyst and become the critical “next layer” that transforms high-level strategic initiatives into clear, actionable work for our delivery teams. This is a role for someone who thrives at the intersection of business needs and technical execution—translating ambiguity into clarity and keeping multiple strategic initiatives moving forward.

What makes this role different:

• Work on cutting-edge data and AI platforms (Databricks, AI/Genie Code, modern data stack)

• Direct exposure to senior leadership across a growing 500-person company

• Own initiatives end-to-end, from stakeholder conversations to delivered solutions

• High variety: Revenue, Finance, Product, Enterprise teams - never siloed to one domain

The Problem You’ll Solve

Our Data Operations teams are at an inflection point. We have:

• Multiple concurrent strategic initiatives and not enough time to fully flesh out requirements and dependencies

• Two delivery teams (Data Platform and Data Services) focused on executing committed quarterly work

• Multiple avenues to make ad-hoc requests, slowing things down

That’s where you come in.

You’ll be the bridge - taking strategic direction and stakeholder needs, fleshing out the details, and structuring work so delivery teams can execute confidently. You’ll bring rigor to Enterprise requests and use AI tools to scale your work across multiple domains.

What You’ll Do:

Requirements Translation & Deep Dives

• Gain high-level understanding or projects from the Director and leadership meetings, fleshing out details

• Conduct follow-up interviews with stakeholders to uncover granular requirements

• Transform vague asks into real specs: source systems touched, definition of done, stakeholder sign-off, priority tier

• Use AI (Claude, ChatGPT, Genie Code) to analyze Slack & Email threads, draft requirements, and explore data

• Work with technical teams to translate business language into technical requirements delivery teams can act on

Solution Coordination & Planning

• Work with Director to ideate high-level solution approaches

• Create well-structured epics and Jira tickets with clear acceptance criteria

• Work with Data Platform and Data Services managers to prioritize and plan work

• Contribute to quarterly planning alongside team managers and Director

• Keep multiple balls in the air when teams are focused on delivery

Enterprise/Business Enablement

• Create a single intake front door for RevOps, Finance, and other Enterprise & Product team requests

• Understand Enterprise teams’ data needs and pain points and represent Enterprise voices in technical decisions

Supporting Responsibilities:

• Maintain Confluence documentation of design decisions, findings, finalized definitions

• Pursue sign-offs from stakeholders to keep work moving

• Coordinate cross-team handoffs between Data Services and Data Platform

What You’ll Work With

Databricks

• Work in Databricks notebooks to query and explore data catalog

• Use Genie Code (AI-assisted coding) to help enable your data discovery

• Understand the platform well enough to communicate with technical teams

• Prior Databricks experience NOT required - SQL + willingness to learn is sufficient

AI/LLM Proficiency

• Frequent use of LLM agents to coordinate efforts across teams

• Tools such as Claude, ChatGPT, GitHub Copilot, Cursor, etc.

• Use AI to accelerate drafting of requirements, analyzing Slack threads, generating ticket structures, exploring data

• Why this matters: Our enterprise teams (RevOps, Finance, Product) are AI-enabled and generating more requests faster. You’ll need to use AI tools to support both our Data Platform and Data Services teams.

Microsoft 365 Suite (Proficient)

• Schedule and coordinate meetings across stakeholders

• Manage documents via OneDrive/SharePoint

• Create presentations for leadership

• You’re a power user, not just a casual user

Excel Advanced

• Build models, use formulas when necessary

• Work with Finance stakeholders who live in spreadsheets

• Translate spreadsheet logic into data requirements

Jira / Ticketing Systems

• Experience creating well-structured epics and tickets

Diagramming Tools

• Familiarity with tools such as Miro, Lucid, Gliffy, Visio etc.

Data from Enterprise Systems of Record

• Explore and reference data from systems such as Salesforce,

Qualifications

Experience:

• 5-7 years as a Business Analyst, Technical BA, or similar role

• Experience working with technical teams (data, engineering, platform)

• Track record of translating business needs into technical requirements

• Comfortable in fast-paced environments

Technical Background:

• Experience with data platforms, BI tools, or analytics environments

• Understanding of software development and data development concepts at an enterprise scale

• AI/LLM tool proficiency

• Prior Databricks experience is not required – Database experience + willingness to learn is sufficient

Soft Skills:

• Stakeholder Management: Navigate competing priorities across multiple business units

• Requirements Elicitation: Ask clarifying questions that uncover hidden needs

• Communication: Clear written documentation and verbal communication

• Self-Direction: Proactive, doesn’t wait for assignments, identifies next steps

• Project Coordination: Keep multiple initiatives moving

Fleetworthy is committed to fostering a diverse and inclusive culture that is respectful and welcoming of individual differences. We are proud to be an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or maternity status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations.

The Role: You, the Analytics Manager of our dreams, are the connective tissue between business strategy, customer behavior, experimentation, and measurement. You understand that modern analytics goes far beyond implementation. It requires helping clients navigate increasingly fragmented, AI-influenced customer journeys while building measurement strategies that drive confident decision-making.

This is an Account Manager role at Seer. You are a client-facing practitioner who owns relationships, drives strategy, and delivers results. You are equally comfortable discussing data layers and tag governance as you are facilitating conversations around KPIs, GEO test design, incrementality, and business outcomes.

The work splits roughly 60% traditional analytics and 40% GEO. On the analytics side you will architect measurement solutions, audit and QA implementations, and build frameworks that tie data to business outcomes. On the GEO side you will help clients measure visibility and performance across AI-powered search experiences, design and evaluate Test & Learn programs, and translate emerging signals into strategy. GEO measurement is a young discipline and we are building this capability together. What matters is your curiosity and analytical instincts, not existing GEO credentials.

Across both, you are AI-native. You use AI daily as a working partner, and you build systems, not just deliverables.

Role Highlights

Traditional Analytics (60%)

• Strategize and architect large-scale digital analytics implementations for a handful of clients, primarily on platforms like Google Analytics 4 and Adobe Analytics
• Audit new and existing implementations to identify gaps, find technical issues with code or configuration, and recommend the best feasible solution
• Build measurement frameworks that move clients beyond sessions and conversions toward metrics that reflect real business outcomes and nonlinear customer journeys
• Confidently implement analytics and marketing tags through Tag Management Systems, and meet with developers, IT, and clients to design solutions that fit their needs
• Write clear technical documentation for team members, clients, and developers

GEO (40%)

• Partner directly with clients to develop and operationalize GEO measurement strategies across AI-powered search experiences
• Support Seer’s GEO Test & Learn initiatives by defining hypotheses, establishing testing methodologies, identifying success metrics, and evaluating causal relationships between marketing activities and business outcomes
• Distinguish correlation from incrementality through thoughtful experimental design and analytical rigor
• Work cross-functionally with SEO, Paid Media, Creative, and Data teams to evaluate how AI-driven experiences influence awareness, behavior, conversion, and loyalty
• Help clients evolve beyond traditional funnel reporting toward modern measurement frameworks that reflect nonlinear customer journeys
• Present findings, recommendations, experimentation outcomes, and strategic insights directly to client stakeholders and executive audiences

Essential Skills

• You have advanced analytics implementation expertise involving behavioral tracking, ecommerce measurement, experimentation frameworks, and business outcome measurement
• You have experience aggregating data and building dashboards in LookerStudio, PowerBI, and Tableau
• You bring a sense of true curiosity to analytics work that drives you to not just report on what happened, but to dig into the why and what’s next
• You are comfortable discussing incrementality, lift analysis, holdout methodologies, and causal inference concepts
• You work effectively in AI tools, particularly Claude, to accelerate analysis, structure findings, and produce client-ready outputs as a daily working partner
• You are naturally inclined to automate, improve, and simplify wherever possible, and you build prompts, workflows, agents, and repeatable systems that amplify impact
• You take ownership of ambiguous problems, break them into actionable next steps, and bring solutions rather than just questions
• You have strong organizational and project management capabilities and can manage your own workload and deadlines in a tool like Wrike, managing up when you hit blockers or competing priorities
• You communicate effectively with technical and non-technical stakeholders, including translating data findings into executive-ready narratives
• You have a genuine curiosity about emerging AI technologies and how they impact discoverability, customer behavior, and digital measurement
• You have a strong sense of self, which means you can say no, deliver feedback, and confidently present the value you are driving for clients, even when things get challenging
• You have a passion for mentoring teammates and elevating data literacy and analytics capabilities across teams

Bonus

• You have experience with Python, R, or data transformation workflows
• You have early exposure to GEO, LLM visibility tracking, or AI search measurement
• You have experience building automations, AI workflows, agents, or internal tools
• You have experience in a consulting or agency environment

30/60/90

First 30 Days — Learn

• Develop a strong understanding of Seer’s analytics methodologies, client portfolio, and AI/GEO measurement philosophy
• Complete onboarding, shadow existing work, and start building relationships across analytics, strategy, and client teams
• Begin contributing to implementation audits, QA processes, and measurement strategy engagements
• Identify one quick win you can improve right away, such as a report, process, or visualization

60 Days — Build

• Independently manage analytics workstreams across multiple client engagements
• Own a client-facing deliverable end to end, from data pull to presentation
• Participate in GEO measurement initiatives and experimentation planning sessions, supporting hypothesis creation, KPI selection, and test design
• Begin contributing AI-assisted workflows or automations that improve how the team works

90 Days — Lead

• Lead measurement strategy conversations with clients
• Independently support GEO Test & Learn engagements from planning through analysis, helping clients interpret outcomes and translate them into next steps
• Have at least one scalable system, dashboard, or tool in production that creates lasting value
• Be a visible contributor to Seer’s analytics practice, sharing ideas, improving processes, and helping shape what AI-native analytics looks like here

This might not be the right role for you if….

• Time management, context switching, and juggling multiple projects is quite challenging
• You do not want continued learning and innovation to be an expectation
• Change management is difficult and you struggle with adapting to new tools and processes

$78,000 - $98,000 a year

• Your final offered compensation will be determined by your skills and experience

• Evaluation of comp at least once a year

• Benefit highlights

Ready to apply? Ditch the cover letter, we don’t need it. We’d rather see your AI chops. Use our Marketing Career AI Self-Assessment GPT to find out where you land on the AI marketing maturity curve and share your results with us. Our team is excited to read your application responses and will be using them to help determine who we’d like to meet with!

Have questions about recruitment at Seer? Check out our Custom GPT: Guide to Talent Acquisition at Seer to drop in your questions! You can ask it anything about our hiring process, and how to best prepare for an interview with us.

As a B-Corp Certified organization, we are committed to creating an inclusive environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Not ready to apply but want to keep in touch? Stay connected via our monthly Career Update newsletter! We’ll share curated content on Seer, open roles, industry insights, career advice, events you don’t want to miss, and more (so you never miss a beat).

#LI-Remote

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

About us

At Davy, it’s the unique talents of all our people that have been the foundations of our success for 100 years. As we continue to grow, so do you. Because you are not just part of our team – you are a key player in shaping our future.

At Davy, you are the difference.

Established in 1926, the Davy Group sits at the heart of wealth and capital in Ireland, providing a broad range of services to high-net-worth individuals, self-directed investors, small-to-medium enterprises, credit unions, corporations, and domestic & international institutional investors.

Our culture is shaped around three values, which are at the heart of everything we do: client success, one Davy, and building a proud legacy. Sharing the same goals, we work together to deliver exceptional outcomes for our clients. As part of a team of over 900, you will be encouraged to learn and to grow, both professionally and personally.

About the role

An exciting opportunity has arisen for a Portfolio Analyst to join our Private Client division. In the role, the successful candidate will:

• Be responsible for the management of discretionary client portfolios in conjunction with agreed client mandate and Investment Committee guidance;
• Conduct significant client portfolio analysis with a strong focus on asset allocation, performance and risk drift.
• Work with the senior members on monitoring and reporting of performance and risk of funds and portfolios managed by Davy to internal and external benchmarks;
• Analyse and effectively communicate the drivers of this performance to the different stakeholders including client advisors
• Support the Investment Committee’s evaluations and decisions with ad hoc investment analysis related to the current or prospective products
• Act as a point of contact between the team and Client Advisers on all investment issues.
• Work closely with the Investment Strategy & Investment Selection teams to ensure that core portfolios deliver on their goals.
• Work closely with senior members of the Portfolio Management Group on various projects.
• Work with IS to drive efficiencies in processes.
• Comply with the Risk and Compliance frameworks, policies and procedures associated with the role.

F&P

The position set out above is defined in the Fitness & Probity Standards issued by the Central Bank of Ireland as a “Controlled Function (CF)”. In compliance with the Fitness and Probity Standards applicable to your position, any offer of employment is conditional upon you demonstrating that you meet the Fitness & Probity Standards.

About you

We are looking for somebody who has the following background and skills:

• Relevant 3rd level Degree or Masters in business/mathematics/finance/accountancy or engineering;
• 3-5 years of relevant experience
• Experience of quantitative research, performance measurement, performance attribution and ex-ante/ex-post risk will be preferred
• APA Savings and Investments qualification or equivalent is desirable;
• Working towards Chartered Financial Analyst (CFA) designation or equivalent professional qualification;
• Excellent information technology capability, including a high level of proficiency in Microsoft Office products (particularly Excel, Outlook, Word, PowerPoint);
• Working knowledge of scripted/programming languages (eg, Python and SQL) essential;
• Excellent analytical, problem-solving and quantitative skills;
• Demonstrable interest and understanding of financial markets and main asset classes;
• Strong communication and presentation skills; verbal and written;
• High level of accuracy with strong attention to detail.

What we offer

At Davy, our people are our biggest investment. In today’s fast-moving world, we know it’s important to feel secure and empowered. That’s why Davy benefits support you through all of life’s stages, offering health and wellness, flexible working options, flexible benefits allowance, learning and development opportunities, through to assisted retirement planning.

Health and Wellbeing

Psychological safety, emotional wellbeing and support are a priority at Davy. We offer a comprehensive Employee Assistance Programme (EAP) and mental health first aid. Our Sports & Social teams promote physical wellbeing and social connection.

Reward and Recognition

We offer a competitive remuneration package to include salary, bonus, pension and a host of additional benefits to protect you and your family when it matters most.

Growth and Development

Our award-winning L&D function supports you and your growth at Davy. We offer a comprehensive range of professional and personal development opportunities. Our culture supports learning, and we encourage you to explore more at Davy.

Positive Workplace

Our workplace is inclusive, diverse, and offers everyone a sense of belonging. We are flexible and continue to support a hybrid working model. You will get to be your best at Davy.

Values and Culture

Exceptional client outcomes delivered by a world class team, underpinned by our core Davy values – One Team, Client Success, and Proud Legacy.

Important Information

Davy is an equal opportunities employer, committed to fostering an inclusive and diverse workplace. We value diversity in both background and experience, and even if you don’t meet all of the requirements outlined in the job description, we still encourage you to apply. We review all applications received. As part of our commitment to creating an accessible environment, we want to ensure that everyone has an equal opportunity to participate in the interview process. If you require any reasonable accommodations, please let us know, and we will do our best to make the necessary arrangements.

The position set out above is defined in the Fitness & Probity Standards issued by the Central Bank of Ireland (“Fitness & Probity Standards”) as a “Controlled Function (CF)”, namely CF3, CF4 and CF10. The role is also subject to the Minimum Competency Code. In compliance with the Fitness and Probity Standards, any offer of employment is conditional upon you demonstrating that you meet the Standards.

Appointment to this role is subject to the candidate’s eligibility to work in Ireland.

Where agency assistance is required, our Recruitment Team will engage directly with suppliers. Unsolicited CVs / profiles supplied to us by recruitment agencies will not be accepted for this role.

Davy Group is a member of the Bank of Ireland Group.

Fleetworthy offers the only complete technology suite for fleet readiness, uniting safety and compliance, toll management, and weigh station bypass solutions. We help fleets streamline operations, control costs, and operate with confidence.

Trusted by 75% of the top fleets in North America, Fleetworthy offers the most adopted toll management solution and largest weigh station bypass network. Going beyond regulatory requirements, our safety and compliance capabilities strengthen safety programs and enable proactive audit readiness. We support millions of vehicles and drivers and are recognized across the industry for innovation and leadership.

Fleetworthy is shaping the future of fleet readiness with AI-enabled, connected fleet technology that keeps drivers safe, fleets compliant, and operations running at peak efficiency. Learn more at fleetworthy.com.

Join Fleetworthy’s Data Operations team as a Business Analyst and become the critical “next layer” that transforms high-level strategic initiatives into clear, actionable work for our delivery teams. This is a role for someone who thrives at the intersection of business needs and technical execution—translating ambiguity into clarity and keeping multiple strategic initiatives moving forward.

What makes this role different:

• Work on cutting-edge data and AI platforms (Databricks, AI/Genie Code, modern data stack)

• Direct exposure to senior leadership across a growing 500-person company

• Own initiatives end-to-end, from stakeholder conversations to delivered solutions

• High variety: Revenue, Finance, Product, Enterprise teams - never siloed to one domain

The Problem You’ll Solve

Our Data Operations teams are at an inflection point. We have:

• Multiple concurrent strategic initiatives and not enough time to fully flesh out requirements and dependencies

• Two delivery teams (Data Platform and Data Services) focused on executing committed quarterly work

• Multiple avenues to make ad-hoc requests, slowing things down

That’s where you come in.

You’ll be the bridge - taking strategic direction and stakeholder needs, fleshing out the details, and structuring work so delivery teams can execute confidently. You’ll bring rigor to Enterprise requests and use AI tools to scale your work across multiple domains.

What You’ll Do:

Requirements Translation & Deep Dives

• Gain high-level understanding or projects from the Director and leadership meetings, fleshing out details

• Conduct follow-up interviews with stakeholders to uncover granular requirements

• Transform vague asks into real specs: source systems touched, definition of done, stakeholder sign-off, priority tier

• Use AI (Claude, ChatGPT, Genie Code) to analyze Slack & Email threads, draft requirements, and explore data

• Work with technical teams to translate business language into technical requirements delivery teams can act on

Solution Coordination & Planning

• Work with Director to ideate high-level solution approaches

• Create well-structured epics and Jira tickets with clear acceptance criteria

• Work with Data Platform and Data Services managers to prioritize and plan work

• Contribute to quarterly planning alongside team managers and Director

• Keep multiple balls in the air when teams are focused on delivery

Enterprise/Business Enablement

• Create a single intake front door for RevOps, Finance, and other Enterprise & Product team requests

• Understand Enterprise teams’ data needs and pain points and represent Enterprise voices in technical decisions

Supporting Responsibilities:

• Maintain Confluence documentation of design decisions, findings, finalized definitions

• Pursue sign-offs from stakeholders to keep work moving

• Coordinate cross-team handoffs between Data Services and Data Platform

What You’ll Work With

Databricks

• Work in Databricks notebooks to query and explore data catalog

• Use Genie Code (AI-assisted coding) to help enable your data discovery

• Understand the platform well enough to communicate with technical teams

• Prior Databricks experience NOT required - SQL + willingness to learn is sufficient

AI/LLM Proficiency

• Frequent use of LLM agents to coordinate efforts across teams

• Tools such as Claude, ChatGPT, GitHub Copilot, Cursor, etc.

• Use AI to accelerate drafting of requirements, analyzing Slack threads, generating ticket structures, exploring data

• Why this matters: Our enterprise teams (RevOps, Finance, Product) are AI-enabled and generating more requests faster. You’ll need to use AI tools to support both our Data Platform and Data Services teams.

Microsoft 365 Suite (Proficient)

• Schedule and coordinate meetings across stakeholders

• Manage documents via OneDrive/SharePoint

• Create presentations for leadership

• You’re a power user, not just a casual user

Excel Advanced

• Build models, use formulas when necessary

• Work with Finance stakeholders who live in spreadsheets

• Translate spreadsheet logic into data requirements

Jira / Ticketing Systems

• Experience creating well-structured epics and tickets

Diagramming Tools

• Familiarity with tools such as Miro, Lucid, Gliffy, Visio etc.

Data from Enterprise Systems of Record

• Explore and reference data from systems such as Salesforce,

Qualifications

Experience:

• 5-7 years as a Business Analyst, Technical BA, or similar role

• Experience working with technical teams (data, engineering, platform)

• Track record of translating business needs into technical requirements

• Comfortable in fast-paced environments

Technical Background:

• Experience with data platforms, BI tools, or analytics environments

• Understanding of software development and data development concepts at an enterprise scale

• AI/LLM tool proficiency

• Prior Databricks experience is not required – Database experience + willingness to learn is sufficient

Soft Skills:

• Stakeholder Management: Navigate competing priorities across multiple business units

• Requirements Elicitation: Ask clarifying questions that uncover hidden needs

• Communication: Clear written documentation and verbal communication

• Self-Direction: Proactive, doesn’t wait for assignments, identifies next steps

• Project Coordination: Keep multiple initiatives moving

Fleetworthy is committed to fostering a diverse and inclusive culture that is respectful and welcoming of individual differences. We are proud to be an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or maternity status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers,...

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization.

As a Analyst at Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement.

You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure.

What you’ll do

• Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts

• Build and maintain critical reporting data models that power external merchant reporting

• Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions

• Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products

• Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows)

• Develop processes, governance, and foundations to scale the impact of analytics within Revenue.

What we look for

• 3+ years of work experience in an analytics engineering or business intelligence role

• Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization

• Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake)

• Understanding of the data foundations required for reliable AI, including semantic layers, metadata, evals, metric definitions, documentation, and data quality

• Demonstrated experience integrating AI tools into day-to-day analytics engineering workflows to improve development speed, quality, and scalability

• Familiarity with Salesforce and experience supporting commercial areas of the business

• Ability to identify user needs and translate them into robust, scalable data products

• Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work toward an impactful solution

• Ability to communicate findings and recommendations clearly to both technical and non-technical audiences.

Compensation and Benefits

Base Pay Grade - K

Equity Grade - 3

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.

ESP base pay range per year: 63,000 - 99,000 EUR

Additional benefits include:

• Type of employment: Contract of Employment
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups

This role is eligible for creative tax benefits, subject to applicable law and company policy

Location - Remote Spain

The majority of our roles can be located anywhere in Spain.

**This job description is not a contractual document, and is not intended to have binding force.**

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Reporting directly to the Technical Manager, the SAP S/4HANA Analytics (SAC) Report Writer is responsible for designing, developing, and maintaining SAP Analytics Cloud (SAC) reports, dashboards, visualizations, and KPI reporting solutions that support business operations and strategic decision-making.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

About the Team:

We’re looking for a curious, driven analyst to join our Revenue Operations team. Revenue Operations serves as the backbone of the Revenue organization at Affirm. We follow a data-driven approach that combines elements of strategy, systems, process, and analytics to align go-to-market motions across the organization.

About the Role:

As a Revenue Operations Analyst II, you will be a key partner to our Marketing, Business Development, and early Sales teams - focused on making the top of the funnel predictable, clean, and scalable. You’ll design and optimize the processes, automation, and tooling that govern how leads, contacts, and accounts enter the revenue funnel, ensuring downstream teams can execute with confidence. The ideal candidate is equal parts tactical, building automation and workflows, and strategic thinking through lifecycle design, routing logic, and coverage models that scale with the business.

What You’ll Do:

• Design and optimize top of funnel merchant lifecycle processes — from Marketing touch through Contact creation, Account readiness, and Discovery handoff — with an emphasis on automation, data quality, and clear documentation

• Own and define lead routing logic, automation triggers, and lifecycle dependencies that govern how leads and accounts move through the top of funnel; partner with Business Systems for implementation

• Own cross-functional initiatives end to end — managing stakeholders across Sales, Marketing, Partnerships, Legal, Product, Revenue Ops, Analytics, and others

• Support attribution tracking and funnel conversion analysis for Marketing, BDA, and early funnel performance to surface actionable insights

• Own workflow automations (e.g., Slack notifications, cross-tool workflows, process triggers) that improve speed-to-lead and reduce manual work

• Collaborate with the Business Systems team to improve Salesforce and adjacent GTM tooling for lead and account management efficiency; define processes to ensure data integrity at funnel entry

• Partner with Revenue Enablement to train and support revenue teams on top of funnel processes and tooling changes

What We Look For:

• BA/BS or equivalent 4-year degree required

• 2+ years of revenue operations, sales operations, or marketing operations experience

• Proficiency in Salesforce (experience as an administrator is a plus); familiarity with marketing automation platforms (e.g., Pardot, HubSpot)

• Mastery of Excel / Google Sheets and a solid understanding of business intelligence tools

• Experience with lead lifecycle management, lead routing tools (e.g., RingLead, LeanData), data enrichment tools (e.g., Clay, Zoominfo), or lead scoring and attribution frameworks is preferred

• Proven ability to manage and maintain relationships with key stakeholders in a fast-paced environment, ensuring alignment and engagement throughout projects

• Prior experience in data analysis, reporting, and funnel performance measurement

• A strong sense of organization, a growth mentality, and a bias toward documenting and systematizing repeatable processes

Pay Grade - H

Equity Grade - 4

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $100,000 - $150,000

USA base pay range (all other U.S. states) per year: $88,000 - $138,000

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

About the Team:

We’re looking for a curious, driven analyst to join our Revenue Operations team. Revenue Operations serves as the backbone of the Revenue organization at Affirm. We follow a data-driven approach that combines elements of strategy, systems, process, and analytics to align go-to-market motions across the organization.

About the Role:

As a Revenue Operations Analyst II, you will be a key partner to our Marketing, Business Development, and early Sales teams - focused on making the top of the funnel predictable, clean, and scalable. You’ll design and optimize the processes, automation, and tooling that govern how leads, contacts, and accounts enter the revenue funnel, ensuring downstream teams can execute with confidence. The ideal candidate is equal parts tactical, building automation and workflows, and strategic thinking through lifecycle design, routing logic, and coverage models that scale with the business.

What You’ll Do:

• Design and optimize top of funnel merchant lifecycle processes — from Marketing touch through Contact creation, Account readiness, and Discovery handoff — with an emphasis on automation, data quality, and clear documentation

• Own and define lead routing logic, automation triggers, and lifecycle dependencies that govern how leads and accounts move through the top of funnel; partner with Business Systems for implementation

• Own cross-functional initiatives end to end — managing stakeholders across Sales, Marketing, Partnerships, Legal, Product, Revenue Ops, Analytics, and others

• Support attribution tracking and funnel conversion analysis for Marketing, BDA, and early funnel performance to surface actionable insights

• Own workflow automations (e.g., Slack notifications, cross-tool workflows, process triggers) that improve speed-to-lead and reduce manual work

• Collaborate with the Business Systems team to improve Salesforce and adjacent GTM tooling for lead and account management efficiency; define processes to ensure data integrity at funnel entry

• Partner with Revenue Enablement to train and support revenue teams on top of funnel processes and tooling changes

What We Look For:

• BA/BS or equivalent 4-year degree required

• 2+ years of revenue operations, sales operations, or marketing operations experience

• Proficiency in Salesforce (experience as an administrator is a plus); familiarity with marketing automation platforms (e.g., Pardot, HubSpot)

• Mastery of Excel / Google Sheets and a solid understanding of business intelligence tools

• Experience with lead lifecycle management, lead routing tools (e.g., RingLead, LeanData), data enrichment tools (e.g., Clay, Zoominfo), or lead scoring and attribution frameworks is preferred

• Proven ability to manage and maintain relationships with key stakeholders in a fast-paced environment, ensuring alignment and engagement throughout projects

• Prior experience in data analysis, reporting, and funnel performance measurement

• A strong sense of organization, a growth mentality, and a bias toward documenting and systematizing repeatable processes

Pay Grade - H

Equity Grade - 3

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

CAN base pay range per year: $77,000 - $127,000

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Turner & Townsend are engaged to support our client with many complex projects, and we are seeking the ideal Construction Cost Data Analyst responsible for data management, analytics and dashboard reporting development for our technology client’s Global Data Center Portfolio.

Description

Role Overview:

We are seeking a Technical Business Analyst with SQL experience to support a data remediation and operational controls programme within a regulated banking environment.

This is a hybrid BA/SQL role requiring someone who can bridge business requirements and technical data activities. The successful candidate will be responsible for documenting requirements and processes, developing and validating SQL-based population controls, supporting regular data operations, and ensuring robust governance and operational controls are in place.

Key Responsibilities:

Business Analysis & Documentation

• Complete and maintain Business Requirement Documents (BRDs) for data population control processes.

• Elicit and document business and technical requirements from stakeholders.

• Translate operational and regulatory requirements into clear, structured process documentation.

• Create and maintain Standard Operating Procedures (SOPs) for recurring data activities and controls.

• Support process improvement initiatives and identify opportunities to enhance operational efficiency.

SQL & Data Analysis

• Write and execute SQL queries, including complex joins and data extraction activities.

• Document SQL logic used to identify and extract customer populations.

• Perform data validation, sample testing, and reconciliation activities to ensure outputs are accurate and fit for purpose.

• Investigate data issues and support root-cause analysis.

• Produce and maintain management information (MI) and reporting outputs.

Population Controls & Data Processes

• Design and implement population control processes.

• Validate data populations and ensure appropriate governance and audit trails are maintained.

• Support sanctions screening, CRA pre-check activities, customer communications, and operational data processes.

• Manage and monitor regular data runs, ensuring all controls are completed and evidenced.

Process Governance & Operational Support

• Create and enhance SOPs covering:

  • SharePoint operational processes and data outputs

  • Sanctions screening updates

  • CRA pre-check work item management

  • Third-party supplier input/output processes

  • MI production and reporting activities

• Ensure all processes are documented, controlled, and aligned to regulatory expectations.

Requirements

Essential Skills & Experience

• Proven experience as a Business Analyst with strong SQL skills.

• Ability to write, understand, and troubleshoot SQL queries, including joins and data validation activities.

• Experience producing BRDs, process maps, SOPs, and operational documentation.

• Strong data analysis and reconciliation experience.

• Experience working within banking, financial services, or other regulated environments.

• Strong stakeholder management and communication skills.

• Excellent attention to detail and governance mindset.

Desirable Experience

• Remediation, complaints, customer outcomes, or regulatory change programmes.

• Data quality, data controls, or population control activities.

• Exposure to sanctions screening, customer remediation, or operational risk programmes.

• SharePoint and MI reporting experience.

• Experience working with third-party suppliers and operational delivery teams.

How We Work:

Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire.

This is a fixed-term position located in London. As the selection and interview process is ongoing, please submit your application in English as soon as possible, if your profile is selected, a member of our team will contact you within 4 weeks. For this role, a valid working permit for the UK is mandatory.

Expectations regarding hybrid working: As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office (which may be the clients’ offices or our own offices depending on the client) aligns to what our clients’ policies and expectations are and these vary. Most of our clients now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require.

Who We Are:

Delta Capita Group (a member of the Prytek Group) is a global managed services, consulting, and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non-differentiating services.

Our 3 offerings are:

• Managed Services

• Consulting & Solutions

• Technology

To know more about Delta Capita and our culture click here: Working at DC - Delta Capita.

Company Description

Why are we here?

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate.

Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies.

Job Description

In a nutshell

The IT Reporting & Documentation Analyst will drive the creation of reports, memos and other documents from the Eurofins IT Organisation for senior executives in the Eurofins Group at the request of the Group CIO and senior IT leadership. The role requires the ability to synthesise information and business intelligence from a variety of sources including those concerning technical compliance, budget, Key Performance Indicators (KPIs), and other metrics, and to communicate the information clearly, including explanation of underlying data and calculations

Where will you be based and what business will you support?

This hybrid position is based in Dublin, Ireland, with a minimum of two days per week in the office.

How can you help us?

You will help us transform complex IT, operational, financial and business data into clear, insightful and executive-level communications. By working closely with senior IT leadership and stakeholders across the organization, you will ensure that reporting, documentation and strategic messaging are accurate, consistent and impactful. Your analytical skills and attention to detail will support data-driven decision-making while driving continuous improvement in the quality of IT communications and governance documentation.

What can we do for you?

We offer the opportunity to work on impactful, global IT projects within a collaborative and international environment, providing exposure to business-critical systems, continuous learning, and professional growth opportunities .

Qualifications

Are you our kind of extraordinary?

You are an analytical storyteller who enjoys turning complex data into meaningful insights and compelling narratives. You thrive in collaborative environments, build strong relationships with diverse stakeholders and are comfortable working with senior leaders. You combine exceptional written communication skills with critical thinking, business acumen and a passion for quality. If you enjoy bringing structure, clarity and consistency to complex information, we’d love to hear from you.

You have:

• Bachelor’s degree in Business, Finance, Economics, Statistics, Information Systems, Mathematics, Communications, or a related field.
• 3–7 years of experience producing executive-level reports, governance documentation, performance reporting or business communications.
• Proven ability to analyse and interpret complex financial, operational, technical and statistical data and translate findings into executive-level recommendations.
• Exceptional written and verbal English communication skills.
• Experience with Power BI, Excel reporting and dashboard interpretation.
• Strong understanding of KPI methodologies and performance measurement.
• Excellent stakeholder management, collaboration and communication skills.
• Strong attention to detail and commitment to high-quality deliverables.

Nice to have:

• Knowledge of IT and documentation frameworks such as SDLC, ITIL, ISO/IEC 27001 and ISO 9001.
• Experience in IT governance, executive reporting, business analytics or strategic communications.
• Exposure to large, complex or multinational organizations.

Additional Information

We support your development! Do you feel like you don’t match 100% of the requirements? Don’t hesitate to apply anyway! Eurofins companies are committed to supporting your career development.

We embrace diversity!  As an Equal Opportunity Employer, the Eurofins network of companies believes in strength and innovation through diversity. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique.

Find out more on our Careers page: https://careers.eurofins.com/

Company description: Eurofins Scientific is an international network of independent life sciences companies, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.

The Eurofins network of companies believes that it is a global leader in food, environment, pharmaceutical and cosmetic product testing and in discovery pharmacology, forensics, advanced material sciences and agroscience contract research services. It is also one of the market leaders in certain testing and laboratory services for genomics, and in the support of clinical studies, as well as in biopharma contract development and manufacturing. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.

In under 40 years, Eurofins has grown from one laboratory in Nantes, France to over 65,000 employees across a decentralised and entrepreneurial network of over 950 laboratories in over 1,000 independent companies across 59 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.

The Eurofins network generated EUR 7.296 billion revenues in FY 2025, and has been one of the fastest growing listed European companies for almost three decades.