RELX

Senior Product Data Analyst

RELX

full-time

Posted on:

Location Type: Hybrid

Location: Amsterdam • 🇳🇱 Netherlands

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Job Level

Senior

Tech Stack

Amazon RedshiftCloudPythonSQLTableau

About the role

  • Define metrics that reflect user success and satisfaction, working closely with stakeholders.
  • Build dashboards and reports to track product performance and user engagement.
  • Use data analysis and experimentation (including A/B testing) to identify and validate opportunities for improvement.
  • Support strategic decisions by combining data from various sources to answer key business questions.
  • Communicate insights clearly and advocate for a data-driven culture across the organization.

Requirements

  • Growth mindset: Enthusiasm for learning and adapting.
  • Experience in data analysis, collaborating with stakeholders, and driving projects to completion.
  • Proficiency with SQL and a strong understanding of data-driven problem solving.
  • Effective communicator, fluent in English, with experience presenting findings to varied audiences.
  • Ability to work inclusively with colleagues from different backgrounds and perspectives.
  • Experience in product analytics, digital product optimization, A/B testing, and web analytics.
  • Familiarity with tools such as Excel, PowerPoint, Python/R, cloud data warehouses (e.g., Amazon Redshift), and analytics platforms (e.g., Databricks, Tableau).
  • Experience working in cross-cultural and cross-functional teams.
Benefits
  • Dutch Share Purchase Plan
  • Annual Profit Share Bonus
  • Comprehensive Pension Plan
  • Home, office or commuting allowance
  • Generous vacation entitlement and option for sabbatical leave
  • Maternity, Paternity, Adoption and Family Care leave
  • Flexible working hours
  • Personal Choice budget
  • Variety of online training courses and career roadshows
  • Wellbeing programs and gym facility in the office
  • Internal communities and networks
  • Various employee discounts
  • Recruitment introduction reward
  • Work from anywhere
  • Employee Assistance Program (global)
  • Annual Event

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisSQLA/B testingproduct analyticsdigital product optimizationweb analyticsdata-driven problem solvingPythonR
Soft skills
growth mindseteffective communicatorcollaborationinclusivityadvocacy for data-driven culture