Top Data Analyst Jobs in Paris

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.

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

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.

Drive decision-making by partnering with Product, Marketing, and Business stakeholders to frame questions, run end-to-end analyses on member and marketplace behaviour, interpret experiments, build narratives and recommendations, improve data product quality, and document reusable business knowledge. Use SQL and data visualisation to explain trends and size opportunities; leverage GenAI tools prudently.

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 automated testing and data validation for migration of SAS-based Infocentre to OVH Cloud. Develop SAS/Python test scripts, perform record-level and aggregated reconciliations, run test cycles across environments, produce test reports and dashboards, and document validation rules to reduce manual effort and ensure data consistency.

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.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

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.

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.

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.

Lead growth-focused analytics: design and monitor data models and dashboards, build statistical and predictive models, ensure data quality for ML, collaborate with cross-functional teams, document findings, and promote data literacy across the organization.

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.

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.

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.

Analyze and improve multilingual classifiers, partner with linguistics and engineering teams, validate taxonomy translations, and document findings.