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Tech Stack
Tools & technologiesPythonSparkSQLTableau
About the role
Key responsibilities & impact- Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance.
- Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR).
- Analyze query behavior, user interaction signals, and content performance to identify optimization opportunities.
- Conduct deep-dive analyses on ranking performance, query intent, and retrieval gaps.
- Support evaluation of downstream applications (including GenAI-powered features) where they depend on retrieval quality.
- Help design and lead A/B testing and experimentation frameworks for search and ranking improvements.
- Partner with product and data science to define success metrics and experiment strategies.
- Ensure statistical rigor in experiment design, analysis, and interpretation.
- Build reusable experimentation templates and scalable analysis workflows.
- Own and evolve dashboards and reporting systems tracking search performance and user engagement.
- Develop clear, actionable data storytelling to communicate insights to technical and business stakeholders.
- Enable self-service analytics for partners through well-designed reporting tools.
- Work with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems).
- Ensure high standards for data quality, metric consistency, and instrumentation reliability.
- Collaborate with engineering to improve logging, tracking, and observability of search systems.
- Act as a key analytics partner to search data scientists, engineers, and product teams.
- Help elevate the team’s understanding of retrieval performance and measurement frameworks.
Requirements
What you’ll need- Master’s or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)
- ~3–5+ years of experience in data analysis, business intelligence, or analytics roles
- Strong proficiency in SQL and Python for large-scale data analysis
- Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn)
- Experience working with Databricks or similar large-scale data platforms
- Strong understanding of experimentation design, A/B testing, and statistical analysis
- Experience defining and analyzing search/retrieval metrics (e.g., NDCG, recall, precision, ranking metrics)
- Proven ability to translate complex data into actionable insights and influence decisions.
Benefits
Comp & perks- 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)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisbusiness intelligenceSQLPythondata visualizationA/B testingstatistical analysissearch/retrieval metricsNDCGprecision
Soft Skills
data storytellingcommunicationcollaborationinfluenceproblem-solvinganalytical thinkingattention to detailorganizational skillsleadershipadaptability
Certifications
Master’s in Data AnalyticsPhD in Data AnalyticsMaster’s in StatisticsPhD in StatisticsMaster’s in Computer SciencePhD in Computer Science