Top Data Analyst Jobs in Paris

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.

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.

Analyze campaign and business performance data, develop KPIs and measurement frameworks, produce regular and ad-hoc reports, translate complex datasets into actionable insights, and collaborate with cross-functional teams to improve campaign performance and reporting methodologies.

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 biostatistical processes for retrospective studies using large clinical and healthcare administrative datasets. Responsibilities include study design, Statistical Analysis Plan and Statistical Analysis Report authoring, longitudinal and survival modeling, causal inference, bias mitigation, outcome evaluation, and scientific publication support. The role requires collaboration with Clinical Affairs and Data Science teams, advanced SQL and R or Python skills, and fluency in English and French.

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 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.

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.

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.

Perform market and competitive analyses, maintain and enhance data models and dashboards (Power BI), synthesize insights for Strategy, M&A and leadership, conduct ad hoc analyses, and collaborate with Data Engineering to ensure high-quality market reporting.

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.

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.

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.

Lead and deliver data science projects: perform exploratory and advanced analyses, validate and optimize predictive models, build dashboards and visualizations, ensure data governance, coordinate local/global solutions, present insights to stakeholders, and mentor junior analysts to support commercial decision-making.

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