Top Data Analyst Jobs in France

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

Analyze and transform data from internal and external sources, develop Power BI dashboards, monitor KPIs, identify trends and customer behaviors, and contribute to forecasting and predictive analytics. The role provides actionable recommendations for marketing, customer experience, processes, and business performance while collaborating with technical and cross-functional teams to promote data-driven decision-making.

Analyze direct marketing campaign results, support sales and marketing teams with data-driven recommendations, conduct statistical studies involving segmentation and scoring, and develop automation projects and Power BI dashboards. The role requires working with high-volume databases, SQL, Python, cloud platforms, and AI/ML techniques while communicating findings to French, Italian, and English-speaking stakeholders.

Build and maintain analytics-ready data models using dbt and SQL, implement data quality checks, and develop official Sigma dashboards. Help establish shared metric definitions, documentation, and data governance across the merged group. Automate data workflows using AI coding tools and agents, support AI-powered self-service analytics, and bridge technical data work with business users.

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.

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.

Conduct exploratory and business data analysis, build and maintain dashboards, translate stakeholder needs into data work, support experiments and investigations, and document queries and standards. Present actionable findings clearly to nontechnical colleagues while ensuring data accuracy and reliability. The role includes working with SQL and data visualization, with opportunities to use Metabase, dbt, Python, or R.

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

The Game Data Analyst will analyze data to provide insights for game features, conduct AB tests, develop dashboards, and maintain data pipelines.

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.

Supports Airbus programme data and analytics offices by managing data governance, classification, quality, access, and usage. Contributes to Generative AI governance and use cases on Google Cloud, develops conceptual data models and ontologies, supports data architecture, builds front-end and back-end digital solutions, manages data ingestion and transformations, documents datasets, and creates business visualizations.

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.

Own and optimize the Pigment finance platform, including budgeting, reporting, integrations, governance, and accounting close workflows. Lead finance data, automation, AI, reconciliation, variance analysis, and dashboard initiatives across FP&A and Accounting. Establish data controls and documentation, support user adoption, and mentor junior analysts or interns. Collaborate with Finance, Data, and IT stakeholders while building internal autonomy from external providers.

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.