Top Data Analyst Jobs in France

Analyze clinical trial data (SDTM, ADaM) to produce reproducible, submission-ready outputs; modernize statistical programming using R/Python, Git, and AI/ML; build reusable pipelines and tools; collaborate with biostatisticians to translate SAPs and drive standards and innovation in vaccine development.

Six-month Data Analyst internship supporting the Marketing Department in data quality management, analysis, and digital tool optimization. Responsibilities include cleaning and auditing data, automating quality processes, integrating an internal application with the data platform, producing business analyses, and developing Power BI dashboards with relevant KPIs. The intern will collaborate with global business, marketing, and sales teams and contribute to technology monitoring and data-driven practices.

Supports marketing data collection, quality assurance, competitor benchmarking, market analysis, custom studies, reporting, and luxury-industry news monitoring. The intern processes data from varied sources, contributes to strategic reports, and curates articles for a group newsletter. The role requires strong analytical, communication, organizational, and multitasking skills, along with proficiency in Excel and PowerPoint.

Analyze user behavior and product metrics, run A/B test analyses, monitor KPIs, build dashboards and reports, and partner cross-functionally to drive data-informed product decisions.

Leads automation of US Health Benefits and finance reconciliation processes using NetSuite and advanced Excel. Updates monthly financial reporting, analyzes variances, validates data quality with HR, Accounting, and FP&A stakeholders, and documents controls for audit readiness. The role requires strong accounting knowledge, financial data analysis, process automation, cross-functional collaboration, and communication in English within a hybrid Lyon-based environment.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

The Data Analyst will analyze user behavior, create reports and dashboards, and collaborate with teams to optimize product performance through data-driven insights.

Lead international expansion and implementation of Digital Purchases data. Perform consumer and e-commerce analyses, deliver actionable insights to clients, manage complex cross-functional projects, and contribute to product and process innovation. Act as trusted partner to commercial and consulting teams, coordinating stakeholders and ensuring successful delivery.

Support GTM Strategy and Sales with recurring reports, dashboards and analyses on partner and sales performance. Monitor KPIs, prepare data extracts for reviews, assist pricing and margin modelling, maintain BI dashboards, track marketplace/catalog health, and provide cross-functional analytical support to RevOps, Product, Tech and Finance.

The Data Analyst Intern will develop ELT pipelines, maintain data models, automate data tasks, ensure data reliability, and collaborate with teams to enhance data infrastructure.

Own B2C marketing KPIs, reporting, acquisition-funnel analysis, attribution, marketing measurement, and tracking infrastructure. Build self-serve reporting and AI-powered data products that improve stakeholder autonomy and acquisition performance. Partner cross-functionally with Marketing, Product, and Data teams to translate complex analyses into actionable recommendations, while ensuring data accuracy, regulatory compliance, and effective activation across marketing platforms.

Own and maintain R&D analytics apps and reporting, build and document data models and curated datasets, implement automated quality checks and data contracts, enable self-serve analytics, prepare leadership reporting and decision boards, and support ad hoc R&D analytics and process automation initiatives.

Own end-to-end analytics: translate business questions, build and maintain dbt/warehouse data models, write performant SQL, ensure data quality, deliver insights, and architect AI-ready data and analytical AI agents to automate and scale decision-making across Product, Finance, Marketing, and Revenue.

Lead the CRM data agenda: partner with Marketing, Product, and Data teams to analyze customer lifecycle, run A/B tests, build and optimize dashboards, ensure data quality and scalable models, enable segmentation and customer scoring, and drive data-driven decisions to improve retention and LTV.

Build end-to-end compliance analytics and data infrastructure for KYC/KYB funnels, remediation campaigns, and financial exposure. Model and transform data with dbt and Omni, create self-service dashboards for product, ops, risk and compliance, and measure campaign impact to drive operational decisions.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

The Data Analyst Lead will manage analytics for growth strategies, working with teams to define metrics, validate data, and build dashboards, while mentoring others in the analytics team.

Lead analytics for Pocket Champs: define KPIs, own A/B testing, translate business questions into data models, surface product insights, set analytical standards, and mentor analysts while coordinating with Data Core and cross-functional teams.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

Work across analytics engineering, applied analytics, and data science to build and maintain analytics pipelines, dashboards, and ML models. Partner with Product Growth, User Acquisition, and Finance to improve metrics, investigate discrepancies, and drive business impact. Contribute to codebase quality, testing, observability, and documentation while owning projects and stakeholder communication in a remote-first environment.

Support transportation and pre-billing operations by updating freight rate databases, correcting carriers/equipment and distances, monitoring reporting errors, analyzing manual price changes, extracting European fuel indexes, and providing occasional plant support and progress reports. Internship focused on developing supply chain and transportation analysis skills.

As a Data Analyst Intern, you will collaborate with teams to analyze data, build dashboards, and contribute to data solutions while learning the full lifecycle of data processes.

Analyze marketing data to evaluate spend, build attribution and reporting, and deliver actionable insights. Create and maintain dashboards, ensure data integrity, collaborate with marketing and data engineering teams, and improve analytical methods to support data-driven decisions.