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RELX

Manager, Reporting – Analytics

RELX

. Design and build dbt models and the semantic layer behind dashboards and AI products .

Posted 10/18/2026full-timeAmsterdam • NetherlandsMid-LevelSenior💰 €49,000 - €81,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and running production data and analytics systems, with strong capabilities in SQL, Python, and dbt modeling. Proven ability to collaborate with marketing teams to translate complex technical concepts into actionable insights while maintaining high standards of documentation and testing.

Highest-signal resume keywords
SQLPythonDbt ModelingLLM ExperienceSnowflake

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonDbt ModelingDimensional ModelingVersion ControlTestingCode ReviewCIDocumentationData Analytics
Soft Skills
Relationship BuildingCuriosityGood JudgementCommunicationCollaboration
Tools & Technologies
SnowflakeMCPTableauSalesforceAdobe AnalyticsBrazeSprinklr
Industry Keywords
B2B MarketingB2C MarketingMarketing AttributionIdentity ResolutionB2B Funnel Measurement

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Design and build dbt models and the semantic layer behind dashboards and AI products
  • Establish clear standards, tests, lineage and documentation for trusted marketing data
  • Build and run AI agents for marketing using Snowflake, the dbt semantic layer, MCP connections and LLM tools
  • Help define the AI architecture roadmap
  • Create evaluation approaches using standard question sets, expected answers, regression checks and accuracy reporting
  • Set up and maintain the user acceptance testing environment
  • Establish a repeatable path to production
  • Work with Data Ops on platform and engineering standards
  • Partner with marketers to understand the decisions they need to make
  • Document systems to support maintainability and knowledge sharing
  • Work in a small agile team alongside the Analytics Architect and report to the Director of Marketing Performance

Requirements

What you’ll need
  • 3+ years of experience building and running production data and analytics systems
  • Strong SQL and Python
  • Solid dbt experience, including modelling, testing, macros and ideally a semantic or metric layer
  • Good dimensional modelling fundamentals, including grain, conformed dimensions and slowly changing dimensions
  • Hands-on experience building with LLMs, including agents, tool or function calling, and retrieval
  • Solid engineering habits: version control, testing, code review, CI and documentation
  • Ability to build relationships across teams and earn trust
  • Ability to explain technical answers in plain language and turn broad marketing questions into answerable ones
  • Curiosity and willingness to experiment
  • Good judgement about when to change course
  • Commercial understanding of marketing
  • Experience in B2B or B2C marketing is welcome
  • Nice to have: Snowflake, MCP, Tableau, identity resolution across sources, marketing attribution, B2B funnel measurement, Salesforce, Adobe Analytics, Braze or Sprinklr experience

Benefits

Comp & perks
  • Healthy work/life balance
  • Wellbeing initiatives
  • Shared parental leave
  • Study assistance
  • Sabbaticals
  • Flexible working hours
  • Country specific benefits