Data Analyst (H/F) Ajouter aux favoris
- Report to Bertrand Flaujac, Head of Product
- Work closely with all teams - Business, Tech, PMs - as the go-to data partner across the company
- Empower the business with trusted, self-serve data and operational intelligence that accelerates execution and removes decision bottlenecks (#1 priority)
- Elevate the product by embedding analytics into the client experience, transforming data into measurable customer value
- Build and scale the data stack - a reliable, evolutive, high-performance stack that makes it all possible
- 3 to 4 years of experience as a Data Analyst - intermediate+ profile
- Background in a product-led startup or scale-up is valued (SaaS experience is a plus)
- Used to work as a solo data analyst - parachuting into different teams, finding your footing, and adding value wherever it's needed
- Engineering degree or equivalent; Business school background considered if you tick enough boxes
- Business Intelligence: You think in KPIs, not just queries. You understand how a metric change impacts the P&L - not just the dashboard.
- Analytical Autonomy: You don't wait for a clean brief. You reframe vague business questions, challenge assumptions, and deliver a recommendation - not just a result.
- Pragmatism: You ship fast and iterate. You propose MVPs when a stakeholder asks for the "perfect dashboard" that would take 2 weeks. You manage technical debt consciously.
- Prioritization & Communication: You match the depth of your work to the value of the question. You can say no, propose an alternative, and translate complex analyses into clear, non-technical recommendations.
- AI Fluency: You use AI tools (Claude, Copilot, etc.) actively in your workflow - writing SQL, accelerating data modeling. You have concrete habits and a clear POV on where AI helps and where it doesn't.
- Customer Obsession: You're curious about why users behave the way they do - not just what the numbers show
- Ownership: You take end-to-end responsibility, from question to recommendation to follow-up
- Simplicity: At every layer - SQL, analysis, output - you reduce complexity to one clear insight
- Collaboration: You thrive working cross-functionally with Business, Tech, and PMs
- Mission Alignment: You're motivated by AssoConnect's social impact and understand that your work helps nonprofits
- Advanced SQL - window functions, complex joins, query optimization. Must be fluent, not just functional (MUST)
- BI Tool - Metabase (preferred) or Looker / Tableau / Power BI. Mastery of at least one (MUST)
- BigQuery - practical, hands-on experience (MUST)
- Business KPIs - can talk about MRR, churn, activation, LTV, conversion funnel deeply. Not just build the chart, but diagnose what's actually moving and why (MUST)
- Data Modeling - understands how to structure a clean, maintainable data model (MUST)
- dbt - experience, or a very strong willingness to learn (MUST)
- ETL / Reverse ETL - familiarity with pipeline concepts (Popsink or equivalent) (SHOULD)
- Python - nice to have for automation and more advanced analyses (COULD)
- Spend 1h with the HR and our Head of Product to check the fit between what you are looking for and what we are offering.
- Complete a 3-hour use case at home, followed by an interview with your manager to debrief on the use case and deep dive into your experience and skills.
- Validate technical expertise and business thinking. Ensure cultural fit, a strategic mindset, and alignment with our mission.
- Meet your peers within the P&E team and join us for a lunch or a drink at our Paris or Marseille Office.
- Ref check and final discussion about salary, start date, and logistics.
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