Top Data Analyst Jobs in France

Create dashboards, standardize and automate reporting, analyze business performance, validate data quality, resolve reporting issues, and guide stakeholders in interpreting results. Support Business, Finance, and Operations with management, forecasting, and transformation initiatives while promoting data-driven decision-making. The role requires strong stakeholder and change-management skills, data visualization and data management knowledge, fluent English and French, and three to five years of relevant experience.

Create dashboards and automate standardized reporting, analyze and validate data, resolve reporting issues, and guide stakeholders in interpreting business figures. Support Business, Finance, and Operations with forecasting, day-to-day management, and transformation initiatives while promoting data-driven decision-making across the company.

Internship supporting equity research through financial and economic data analysis, predictive modeling, machine learning, and AI tools. Responsibilities include developing macroeconomic indicators, analyzing industry trends and market news, presenting research findings, expanding a Big Data product, and maintaining large-scale databases. The role requires Python and SQL proficiency, strong analytical ability, independence, initiative, and French and English communication skills.

Conduct product analyses before and after changes, define KPIs, prioritize initiatives, collaborate on A/B testing, analyze experiment results, improve testing frameworks, and align performance metrics with quarterly business objectives. Translate complex data insights into actionable recommendations for cross-functional stakeholders while supporting data-driven decisions for the Wizz consumer app.

Own the end-to-end marketing data pipeline from extraction through BigQuery transformation, analysis, and Tableau dashboards. Analyze LTV, CAC, churn, ROAS, cohorts, funnels, attribution, and forecasts, while building predictive models and ensuring data quality. Partner with marketers, clients, and stakeholders to define KPIs, communicate issues, and improve reporting processes with minimal supervision.

Analyze hotel supply data to support commercial and Cloud teams, evaluate partner and chain performance, identify inventory gaps and data-quality issues, and improve reporting consistency. The role involves clarifying ambiguous requests, delivering end-to-end analyses, building trusted dashboards or data products, and communicating findings to nontechnical stakeholders. Experience with SQL is required, while dbt, data modeling, and marketplace or platform experience are advantageous.

Data Analyst Intern will query and analyze data using SQL and Snowflake, generate business and product insights, build Looker dashboards, prepare partner reports, and automate reporting workflows with Python and Airflow. The role investigates metric changes, supports data quality, and translates business needs into actionable recommendations while collaborating with Content, Product, Sales, and Data Engineering teams.

Support the Group Data Analytics team by building and improving dashboards, analyzing business needs, producing reliable insights, developing data products, improving data models and data quality, and enhancing website performance monitoring. The intern will work with international business teams, contribute to self-service analytics, and explore Generative AI tools and agents to improve data workflows.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

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.

Analyze product and financial data for the Money squad, defining metrics, reconciling PSP, ledger, and accounting data, and modeling payment, payout, tax, and compliance flows. The role supports PSP architecture migration, data quality, tracking, experimentation, and dashboarding while contributing to the broader data platform. It also documents business rules and metric definitions for AI agents and collaborates closely with Product, Operations, and Finance.

Builds and maintains Salesforce and Revenue Operations systems, including Apex development, Lightning components, CPQ configuration, integrations, automation, data migrations, and governance. Leads technical architecture, deployment standards, documentation, training, and user enablement. Designs AI-powered revenue workflows and LLM integrations with safeguards for privacy, reliability, human oversight, auditability, and cost control. Requires strong Salesforce, CPQ, RevOps technology, API, automation, data governance, AI integration, and technical documentation experience.

Leads financial, product, marketplace, and marketing analysis for European brands. Reconciles fragmented data sources, develops Tableau dashboards and executive reports, evaluates customer and seller behavior, analyzes marketing performance and ROAS, and provides actionable insights to improve retention, monetization, product experiences, and business growth. Partners with executive leadership, Marketplace Success, Product, and Marketing teams.

Provide ad-hoc data and reporting support to Sales and internal teams using SQL, Databricks/Count, and spreadsheets. Clarify requirements, investigate discrepancies, resolve basic data issues, support routine data operations, and create reusable queries/reports and documentation to enable self-service.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Serve as the analytical partner to commercial teams by turning marketplace data into revenue and go-to-market decisions. Build performance dashboards, automate business reporting, develop KPI and revenue frameworks, analyze user behavior, detect fraud, create forecasting and segmentation models, and support agentic self-service analytics using Databricks. Present insights to senior stakeholders and help launch new professional-segment initiatives.

Develops and maintains forecasting models for clinical site payments, integrating Medidata Payments data and supporting financial reporting. Analyzes plan-versus-actual performance, budget variances, and forecast risks; prepares client-ready reports and reconciliations. Partners with Revenue Recognition, Clinical Operations, Project Analysis, and planning teams to support audits, change orders, study closeouts, compliance, and sponsor reporting requirements.

Data Analyst Intern supporting Pernod Ricard’s AI team from January to June 2027. Responsibilities include preparing data for statistical models, resolving code issues, supporting affiliate deployments, analyzing strategic business questions, building dashboards for Marketing and Commercial teams, and automating data ingestion and quality checks. Candidates need coding and visualization experience, analytical skills, statistical knowledge, and enrollment in a relevant business or master’s program.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Analyze historical carbon footprint data, compare European markets, assess reduction scenarios, support Net Zero initiatives, and improve data reliability for Climate Transition Plan reporting. The role combines business data analysis, carbon accounting, sustainability insights, and operational decision support while collaborating with regional and local teams. Strong Excel and PowerPoint skills, analytical rigor, autonomy, documentation ability, and fluent French and English are required.

Conduct clinical trial data risk assessments, identify data integrity issues, recommend mitigation strategies, and monitor data quality throughout trials. Collaborate with cross-functional teams on risk management plans, communicate statistical insights using analysis and visualization tools, and support regulatory documentation and audit preparation. The role requires clinical research or data analysis experience, strong analytical skills, English and Mandarin fluency, and knowledge of statistical and risk assessment methodologies.

Investigate data quality and operational issues, analyze large datasets with SQL and BI tools, and build validation and monitoring solutions. Lead data, automation, and process-improvement initiatives from conception through measurable impact. Explore AI and automation use cases, collaborate with Operations, Engineering, Product, and client-facing teams, and support analysts on complex technical topics. The role requires strong analytical problem-solving, autonomy, communication skills, and fluency in English and French.

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.

Analyze and model electricity grids across global markets, including power flows, grid constraints, interconnection queues, stability, and techno-economic optimization. Support grid investment plans, capex strategy, and non-wire solutions such as flexibility and battery energy storage. Develop data and modeling tools, generate insights from complex energy datasets, and communicate findings clearly to technical and non-technical stakeholders.

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