The data analyst role is booming in France, with a 35% increase in job postings over 2 years. But competition is fierce, especially in major cities. Tech recruiters use ATS configured to filter by tech stack. Your CV must show both your tools AND your business impact.
Expert tip
The data analyst CV trap: listing tools without showing impact. SQL, Python, Tableau — everyone lists them. What makes the difference: 'Built a dashboard that reduced decision time by 40%' or 'Identified a €200K billing anomaly.' Show that your analyses changed something.
— Juliano Majally, founder of EasyCV.ai
These skills are the most searched by recruiters and ATS systems for this role.
Like for developers, create a dedicated technical section: Languages (SQL, Python, R), Visualization tools (Tableau, Power BI, Looker), Databases (PostgreSQL, BigQuery, Snowflake), Cloud (GCP, AWS). ATS systems scan these keywords first.
'Data analysis with Python' says nothing. 'Cohort analysis that identified 25% churn on premium segment, leading to a retention plan that reduced churn by 12 points' tells a story. Every project should have a measurable business result.
Personal projects prove your passion and autonomy. A well-documented Kaggle notebook, a public dashboard, or an analysis published on Medium show you don't just do data for the paycheck. Mention them in a dedicated 'Projects' section.
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