Top Data Analyst Jobs in Lyon

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.

Support global procurement by delivering analytics, dashboards, and should-cost models; track savings and value delivery; enable data-driven sourcing strategies and business cases; maintain reporting frameworks; support digital procurement tools and partner with Procurement, Finance, and Supply Chain to drive performance and continuous improvement.

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.

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.

The Data Analyst at Gamesight will leverage data to optimize creator partnerships and inform marketing strategies for game launches while collaborating with various teams to enhance campaign effectiveness.

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 Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

The Data Analyst will define KPIs, use Python and SQL for data analysis, create visualizations, and convert insights into actionable recommendations.

Ensure end-to-end data continuity across the LEDP ecosystem by designing integrations between LEDP and core systems (ERP, MES, MDM, PLM/Tech Transfer). Translate business needs into functional solutions, map processes, enforce single source of truth and GxP data integrity, lead gap analyses, support UAT, and partner with Product Owners, technical teams, and vendors to enable compliant, automated data flows.