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Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Reporting to Marie-Neige, Lead Data Analyst, the Product Data Analyst will be at the heart of the company's strategic decisions.
- You will play a key role in translating business needs into actionable analyses and promoting a data-driven culture at all levels.
- Integrated into the Data team, you will be involved in every stage of the product lifecycle (from discovery to post-release impact measurement) and will play a central role in building a data culture within the product teams.
- Collaboration with product teams.
- Work closely with product teams to understand their needs and deliver relevant analyses.
- Identify data-driven optimization levers.
- Support squads in their day-to-day management during active product development phases.
- Reporting.
- Build clear, actionable dashboards and reports focused on product KPI tracking.
- In collaboration with Analytics Engineers, identify data modeling needs and ensure data quality.
- Decision support.
- Provide analyses and recommendations to support product discovery, prioritization, and release impact measurement.
- Identify trends and patterns in the data to anticipate user needs and product opportunities.
- Development of data solutions.
- Design and implement analytical solutions tailored to the squads' and business teams' needs.
- Automate data collection and analysis processes to improve efficiency and reliability.
- Data project management: Manage data analysis projects end-to-end, from design to delivery.
- Ensure data quality and integrity throughout the project lifecycle.
Requirements
What you’ll need- You have significant experience (minimum 5 years, excluding internships/apprenticeships) as a Data Analyst, ideally in a startup or scale-up.
- Experience collaborating with product or business teams and translating their needs into actionable analyses.
- Proficiency with data analysis tools (SQL, Python).
- Experience with data visualization tools (Tableau, Power BI, Metabase, etc.).
- Knowledge of databases and data modeling techniques.
- A plus if you have experience with a product analytics tool (Amplitude, Mixpanel, Heap, or similar).
- Practical experience with experimentation and A/B testing.
- Proficiency in funnel analysis and user journey analysis, with knowledge of customer segmentation or scoring.
- Analytical and detail-oriented.
- Ability to work in a team and collaborate with diverse stakeholders.
- Excellent communication skills to present results and insights clearly and concisely.
- Strong interest in behavioral analysis and understanding customer usage.
- Ability to manage multiple projects simultaneously and meet deadlines.
- Curiosity and a desire to learn and adapt quickly to new technologies and methods.
Benefits
Comp & perks- Up to 3 days of remote work per week
- Annual RTT policy (approximately 10 days/year)
- Digital meal vouchers (restaurant vouchers) valued at €11.52 (incl. VAT) per working day, 60% covered by Kolecto
- Alan Blue health insurance covered at 70% by Kolecto
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 analysisSQLPythondata visualizationTableauPower BIMetabasedata modelingA/B testingfunnel analysis
Soft Skills
analyticaldetail-orientedteam collaborationcommunicationproject managementcuriosityadaptabilitystakeholder engagementproblem-solvingtime management
