Manager, Reporting & Analytics

RX Brasil; Amsterdam; Sur place; EUR 49 000 - 82 000; Plein temps

Résumé du poste

Elsevier is seeking an experienced analytics engineer to build trusted data foundations behind dashboards and AI products in Amsterdam. You will develop dbt models, semantic layers and data quality, while creating AI agents and a scalable evaluation framework for marketing insights.

You will collaborate with the Analytics Architect, Data Ops and marketers to define architecture, tests and release processes, ensuring reliable, explainable results across teams.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

SQL

Python

dbt

Semantic layer

LLMs

CI/CD

Testing

Documentation

Data quality

Snowflake

Outils

Snowflake

MCP

Tableau

Salesforce

Adobe Analytics

Braze

Sprinklr

Description du poste

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) €49,000 - €81,700. 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.

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. 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: EEO Know Your Rights.Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.

With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier. Elsevier is part of RELX Group. Let’s shape progress together. Join us. elsevier.com/about/careers