Senior Data Analyst

Role Overview

• 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

• 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.

Tech Stack

• Python
• Spark
• SQL
• Tableau

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)