Description

Data Analyst with experience in SQL and Python specializing in marketing analytics, user behavior analysis, and business intelligence. I help companies transform raw data into actionable insights through data exploration, KPI tracking, and dashboard

development.

Experienced in analyzing campaign performance, revenue trends, retention metrics, and user acquisition channels. Skilled in building SQL queries, Python (Pandas) data analysis, and creating dashboards using Tableau and Excel.

I have also worked on A/B testing experiments to evaluate product and marketing changes, comparing user behavior across segments to support data-driven decision making.

Previously worked on projects involving churn analysis, acquisition channel performance, KPI reporting, and growth analytics. I collaborate with product, marketing, and finance teams to help optimize business performance through data.

Domaines d’expertise

Langues

Anglais
Bilingue ou natif
Français
Capacité professionnelle complète

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

Meetic
Data Analyst
E-COMMERCE
octobre 2024 - avril 2025 (6 mois)
Paris, France
Ran A/B tests (North vs South of France) using Python to study user behavior and support optimization decisions.
Built cross‑team dashboards covering acquisition, activation, retention, and monetization (ARPU, LTV, DAU, churn).
Created and improved SQL queries for KPI calculations and performance reviews.
Worked with Finance, Product, and Marketing to turn business needs into clear insights and present results to managers.
Wrote technical documentation to ensure KPI consistency and reliable reporting.
SQL Qlikview Python Data visualization Business intelligence
Firstzen
Business Data Analyst
CONSEIL & AUDIT
juin 2022 - août 2023 (1 an et 2 mois)
Hyderabad, Inde
Developed a churn prediction model using user activity data to spot at‑risk customers.
Set up core KPIs including churn, retention, and engagement indicators to support marketing.
Designed dashboards for churn patterns, performance signals and acquisition channels.
Used AWS services for data handling and large‑scale model rollout.
Worked closely with stakeholders to translate goals into practical data insights and actions.
SQL Python Tableau software Data analysis Data visualization