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Manager, Reporting & Analytics
Amsterdam
Live, first seen by us 17 days ago- Pay
€53,800–89,900/year · BaseAnnual period assumed — pay source
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. Are you excited to build trusted data foundations that power marketing dashboards and AI products? 

Primary Location Base Pay Range: NLD Amsterdam (Radarweg) €53,800 - €89,900. 





This role is covered by the Collective Labor Agreement Publishing Industry.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingYou'll build the trusted data foundations behind our dashboards and AI products: the dbt models, metric definitions and data quality that make them reliable.
You'll work in a small, agile team, alongside our Analytics Architect and reporting to the Director of Marketing Performance.
Design and build dbt models and semantic layer with tests, lineage and documentation
Build and run marketing AI agents on Snowflake, dbt semantic layer, MCP and LLM tools
Create evaluation question sets, regression checks and accuracy reporting
Set up and maintain the UAT environment and a repeatable path to production
From the employer’s posting
You'll build the trusted data foundations behind our dashboards and AI products: the dbt models, metric definitions and data quality that make them reliable. You'll also build AI products that help marketers and leaders make better decisions, including an agent that drafts monthly performance commentary.
You'll work in a small, agile team, alongside our Analytics Architect and reporting to the Director of Marketing Performance. You'll partner closely with marketers, Data Ops and technology colleagues, and you'll help shape how we build, test and release. This is a role for someone who wants to understand marketing as well as engineer for it.
Design and build the dbt models and semantic layer behind our dashboards and AI products
Build and run AI agents for marketing on Snowflake, our dbt semantic layer, MCP connections and LLM tools
Create a simple, strong evaluation approach: standard question sets with expected answers, regression checks before each release, and open reporting on accuracy.
Set up and maintain our user acceptance testing (UAT) environment and a repeatable path to production.
About Relx
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 18, 202617 days ago
- Recorded sightings
- 37
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Relx is hiring
42 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
- 10% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- dbt
- Snowflake
- Tableau
Where the posting names them
What you'll bring - 3+ years of experience building and running production data and analytics systems, with strong SQL and Python. - Solid dbt experience, including modelling, testing, macros and ideally a semantic or metric layer. You've designed models others rely on.
About the role You'll build the trusted data foundations behind our dashboards and AI products: the dbt models, metric definitions and data quality that make them reliable. You'll also build AI products that help marketers and leaders make better decisions, including an agent that drafts monthly performance commentary. You'll work in a small, agile team, alongside our Analytics Architect and reporting to the Director of Marketing Performance. You'll partner closely with marketers, Data Ops and technology colleagues, and you'll help shape how we build, test and release. This is a role for someone who wants to understand marketing as well as engineer for it.
Responsibilities - Design and build the dbt models and semantic layer behind our dashboards and AI products, with clear standards, tests, lineage and documentation, so marketers can trust the numbers. - Build and run AI agents for marketing on Snowflake, our dbt semantic layer, MCP connections and LLM tools, and help define the architecture roadmap.
- Design and build the dbt models and semantic layer behind our dashboards and AI products, with clear standards, tests, lineage and documentation, so marketers can trust the numbers. - Build and run AI agents for marketing on Snowflake, our dbt semantic layer, MCP connections and LLM tools, and help define the architecture roadmap. - Create a simple, strong evaluation approach: standard question sets with expected answers, regression checks before each release, and open reporting on accuracy.
- 3+ years of experience building and running production data and analytics systems, with strong SQL and Python. - Solid dbt experience, including modelling, testing, macros and ideally a semantic or metric layer. You've designed models others rely on. - Good dimensional modelling fundamentals, such as grain, conformed dimensions and slowly changing dimensions.
Nice to have Experience with Snowflake, MCP, Tableau, identity resolution across sources, marketing attribution, B2B funnel measurement, or marketing data sources such as Salesforce, Adobe Analytics, Braze and Sprinklr. Work in a Way That Works for You
Your next step
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Already applied? Track this application
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Are you excited to build trusted data foundations that power marketing dashboards and AI products?
Would you like to combine analytics engineering and AI to help marketers make better-informed decisions?
About Team:
Marketing Performance is a collaborative team that measures the impact of marketing across our Academic, Government and Corporate Markets. We define what to measure, show how marketing contributes to business results, and help leaders decide what to do next. We've built a trusted semantic layer and an AI agent for marketing performance, and we're expanding both. We share ideas and ownership, and increasingly deliver insights through AI products as well as dashboards.
About the role
You'll build the trusted data foundations behind our dashboards and AI products: the dbt models, metric definitions and data quality that make them reliable. You'll also build AI products that help marketers and leaders make better decisions, including an agent that drafts monthly performance commentary.
You'll work in a small, agile team, alongside our Analytics Architect and reporting to the Director of Marketing Performance. You'll partner closely with marketers, Data Ops and technology colleagues, and you'll help shape how we build, test and release. This is a role for someone who wants to understand marketing as well as engineer for it.
Responsibilities
- Design and build the dbt models and semantic layer behind our dashboards and AI products, with clear standards, tests, lineage and documentation, so marketers can trust the numbers.
- Build and run AI agents for marketing on Snowflake, our dbt semantic layer, MCP connections and LLM tools, and help define the architecture roadmap.
- Create a simple, strong evaluation approach: standard question sets with expected answers, regression checks before each release, and open reporting on accuracy.
- Set up and maintain our user acceptance testing (UAT) environment and a repeatable path to production.
- Work with Data Ops on platform and engineering standards, and with marketers to understand the decisions they need to make.
- Document as you build, so our systems are easy to maintain and knowledge is shared across the team.
What you'll bring
- 3+ years of experience building and running production data and analytics systems, with strong SQL and Python.
- Solid dbt experience, including modelling, testing, macros and ideally a semantic or metric layer. You've designed models others rely on.
- Good dimensional modelling fundamentals, such as grain, conformed dimensions and slowly changing dimensions.
- Hands-on experience building with LLMs (agents, tool or function calling, retrieval), ideally in production, and a real interest in how to measure and improve answer quality.
- Solid engineering habits: version control, testing, code review, CI and documentation.
- The ability to build relationships across teams and earn trust. Your work makes a difference when people use it.
- Skill at translating in both directions: explaining technical answers in plain language, and turning broad marketing questions into answerable ones.
What will help you thrive
- Curiosity and a willingness to experiment. You keep up with what's changing, try things yourself and form your own views.
- Good judgement about when to change course, and the confidence to say when something isn't working.
- A commercial understanding of marketing. Experience in either B2B or B2C is welcome, along with curiosity about the other.
Nice to have
Experience with Snowflake, MCP, Tableau, identity resolution across sources, marketing attribution, B2B funnel measurement, or marketing data sources such as Salesforce, Adobe Analytics, Braze and Sprinklr.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. Are you excited to build trusted data foundations that power marketing dashboards and AI products?


Primary Location Base Pay Range: NLD Amsterdam (Radarweg) €53,800 - €89,900. 





This role is covered by the Collective Labor Agreement Publishing Industry.


We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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Amsterdam
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Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: