Data Analyst
Turns raw data into decisions: analyses, dashboards and quantified answers to business questions.
Why this hire matters.
Without a data analyst, your decisions rest on intuition and contradictory Excel exports — every team has 'its' numbers, and meetings dissolve into reconciling definitions. The data analyst installs a shared truth: metric definitions, reliable dashboards, analyses that answer real business questions (why churn is rising, which segment converts, where margin leaks). Their impact isn't measured in dashboards produced but in decisions changed. The hiring trap: the 'reporting' profile who stacks charts without ever making a recommendation. Look for business curiosity and the ability to say 'here's what I would do' — that's what separates a number producer from a decision partner.
Key missions.
- Answer business questions through data analysis
- Define and document reference metrics
- Build and maintain key dashboards
- Analyze funnel, retention, churn and cohorts
- Design and analyze A/B tests
- Communicate findings to teams
- Ensure quality of the data used
Skills.
Technical skills
- Advanced SQL
- Visualization (Looker, Metabase, Tableau)
- Applied statistics and A/B testing
- Python/dbt (a growing plus)
Expected qualities
- Business curiosity
- Critical thinking
- Clear communication
- Rigor
Common stack
Salaries 2025-2026
| Level | Experience | Annual gross base |
|---|---|---|
| Junior | 0-2 yrs | 42–52 k€ |
| Mid-level | 2-5 yrs | 55–75 k€ |
| Senior | 5-8 yrs | 75–100 k€ |
| Staff / Principal | 8+ yrs | 95–140 k€ |
Paris market ranges, 2025-2026.
Outside the Paris region, expect 10 to 20 % less.
Sources : Robert Half 2026 · Velyq 2026 · Michael Page 2026 · Silkhom 2026
Hiring this profile.
Typical background
Business or engineering school, data/stats master's, or career change validated by concrete projects. SQL/dbt depth drives the salary gap.
When to hire
As soon as business questions go without a reliable quantified answer — often seed/Series A, even before the first data engineer if your data is accessible.
Career path
Senior → Analytics Engineer, Lead Analytics, Data Scientist, or Head of Data.