📊 DATA ANALYST (M/F)

Data analysts transform raw data into actionable insights: they answer business questions, build dashboards, and inform decisions made by management, marketing, and product teams.

🎯 Tasks

• Explore and analyze data to answer business questions.
• Build and maintain dashboards and automated reports.
• Define and track KPIs with the business teams.
• Ensure the reliability of definitions and the quality of metrics (single source of truth).
• Presentation: data storytelling, recommendations, decision support.

🛠️ Skills & Tech Stack 2026

• Advanced SQL: The #1, Non-Negotiable Skill.
• Python (pandas) for advanced analysis.
• Data Visualization: Power BI, Looker, Tableau, Metabase.
• Analytics engineering: dbt, modeling in the data warehouse—the line between this role and that of an analytics engineer is blurring.
• Web & Product: GA4, Amplitude, Mixpanel.
• Applied Statistics: A/B testing, statistical significance, bias.

💰 2026 Salaries (as reported in France)

• Junior: 38–44 k€
• Confirmed: 44–58 k€
• Senior / Lead: 58–72 k€
• Freelance: Average daily rate of 400–650 €.

🔍 Not to be confused with

The Data Scientist (predictive modeling and machine learning) and the Data Engineer (infrastructure and pipelines). The Analyst is the closest to the business and decision-making.

❓ Frequently Asked Questions

Does generative AI pose a threat to the business? It automates simple queries, but it enhances the value of those who know how to ask the right questions, verify the numbers, and interpret the data for the business.

Is Excel still enough? No: SQL plus a modern BI tool is the minimum requirement in 2026.

📈 Trends

Senior/Lead Analyst, Analytics Engineer, Data Scientist, Head of Data.