> Markdown version of [/jobs/ext/3641288-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/3641288-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Marktplaats BV - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Big Data, BigQuery, Databases, E-Business, Google Analytics, Python (Programming Language), Query Optimization, SQL Databases, Tableau (Software), Information Technology, Databricks - **Published:** October 9, 2026 - **Apply:** https://www.adzuna.nl/details/5919395836 ## About the Role * 8+ years in analytics, ideally in a product-led digital business such as a marketplace or e-commerce * A degree in statistics, computer science, econometrics, economics or a related quantitative field * Expert SQL (nested structures, window functions, query optimisation) and Python for analysis, modelling and automation, with code others can build on * Hands-on experience with Databricks, BigQuery, AWS or equivalent, and familiarity with dbt, Airflow or similar tools * Proficiency with Tableau or similar BI tools, and practical experience with Google Analytics 4 * A solid grasp of marketplace revenue drivers: monetisation, funnel economics, customer lifetime value and acquisition vs. retention trade-offs * A track record of turning ambiguous business questions into clear analytical plans, and of influencing decisions by reframing weak questions, not just answering them * Strong communication: you can explain a regression discontinuity design to an engineer and a revenue impact to a VP * Curiosity about user behaviour: what makes a buyer trust a seller, what makes a listing convert, what keeps users coming back Bonus Points * Experience in classifieds, two-sided marketplaces or platforms with both consumer and commercial revenue streams. Our Tech Stack * Language: SQL, Python * Database: Databricks, BigQuery * Cloud: AWS * Other tools: Tableau, Google Analytics 4, dbt, Airflow This role is based out of our Amsterdam office. While we offer flexibility, we value in-person collaboration and encourage our teams to spend regular time in the office. ## Description * Partner with product managers, commercial leads and marketers to understand their goals and the business context behind their requests, then turn them into an analytical agenda that drives real decisions * Spot opportunities and risks before they're raised: drops in conversion, shifts in monetisation, changes in competitive positioning and emerging user behaviour, from how buyers search to what makes a listing convert * Build dashboards and reports that tell a clear story, not just display numbers, centred on the KPIs that matter for revenue, retention and growth, and decide whether a dashboard, a deeper analysis or an experiment is the right tool * Work with large-scale, complex datasets (TB-level, nested, distributed) in SQL, Python and Databricks to extract signal from noise, and measure things like incremental marketing impact, customer lifetime value and user satisfaction with new offers * Communicate findings to influence decisions at every level, from a squad's weekly review to a leadership strategy discussion * Partner with data, product and engineering teams to improve data quality, tracking, event modelling, metric definitions and documentation, so stakeholders can trust the numbers The challenge: Turning vague, ambiguous business questions into focused analyses that lead to action, while strengthening how data is captured, modelled and defined (tracking, event modelling, metrics), so stakeholders can trust the numbers behind their decisions.