Top Data Analyst Jobs in Paris

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.

The HR Data Analyst apprenticeship focuses on reporting training data, maintaining dashboards with Power BI and AI, and providing accounting support during a transition to Global Business Service Centers.

Lead HR analytics and organizational effectiveness for the Cluster SWE: monitor headcount and PEX, enforce governance and job catalogue use, advise on organizational design, ensure high-quality HR data, drive HR performance improvements and process optimization (including use of AI tools), and support reporting and transformation programs across HR, finance and business leaders.

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.

The Experienced Data Analyst will work on data projects to enhance ad delivery quality, build pipelines, and analyze large datasets for insights.

Analyze player behavior data to inform game development decisions, optimize engagement and monetization strategies through data insights and A/B testing.

The Product Data Analyst will lead data analysis to inform game design and monetization strategies, and collaborate with cross-functional teams. Responsibilities include establishing data practices, creating dashboards, and using A/B testing for optimization.

Support performance reporting and data analysis: build and automate dashboards, track KPIs, consolidate data, deliver quantitative analyses and recommendations, create decision tools, and support agencies and cross-functional projects.

As a Data Analyst at Joko, you will analyze data for trends, build predictive models, create dashboards, and support stakeholders in decision-making.

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

As a Data Analyst at Homa, you'll enhance core analytics tools, ensure data quality, support hybrid game analytics, create visualizations, and promote self-service analytics to facilitate data-driven decisions.

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 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.

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.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

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.

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.

The Senior Data Analyst will lead A/B testing for Paper.io 2, analyze complex datasets, provide actionable insights, and collaborate with teams to optimize game performance.

Lead Data Analyst will drive data analytics, manage data quality, lead a team, and promote a data-driven culture to enhance game success.

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.

Act as proxy Product Owner for Data Factory: gather and translate business needs into functional requirements, steer Agile data projects end-to-end (framing to go-live), coordinate stakeholders, define and track QCD KPIs, validate deliverables, ensure production delivery, training, and ongoing product maintenance and documentation.

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.

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.

Lead marketing measurement and analytics by designing data collection and reporting, analyzing paid-media performance and its impact on acquisition, retention, engagement and conversion, and communicating actionable insights and recommendations to marketing and cross-functional stakeholders.