Top Data Analyst Jobs in Lyon

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

The Data Analyst will build and maintain dbt models, analyze billing and SaaS metrics, monitor data quality, maintain Metabase reporting, and support acquisition due diligence. The role involves tracing data from source systems through ingestion and transformation, resolving production issues, validating results, and communicating findings to technical and business stakeholders. The analyst will also maintain Airbyte integrations, document data definitions, and use AI tools responsibly in daily data work.

Analyze direct marketing campaign results, support sales and marketing teams with data-driven recommendations, conduct statistical studies involving segmentation and scoring, and develop automation projects and Power BI dashboards. The role requires working with high-volume databases, SQL, Python, cloud platforms, and AI/ML techniques while communicating findings to French, Italian, and English-speaking stakeholders.

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.

Leads automation of US Health Benefits and finance reconciliation processes using NetSuite and advanced Excel. Updates monthly financial reporting, analyzes variances, validates data quality with HR, Accounting, and FP&A stakeholders, and documents controls for audit readiness. The role requires strong accounting knowledge, financial data analysis, process automation, cross-functional collaboration, and communication in English within a hybrid Lyon-based environment.

Conduct exploratory and business data analysis, build and maintain dashboards, translate stakeholder needs into data work, support experiments and investigations, and document queries and standards. Present actionable findings clearly to nontechnical colleagues while ensuring data accuracy and reliability. The role includes working with SQL and data visualization, with opportunities to use Metabase, dbt, Python, or R.

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.

Analyze marketing data to evaluate spend, build attribution and reporting, and deliver actionable insights. Create and maintain dashboards, ensure data integrity, collaborate with marketing and data engineering teams, and improve analytical methods to support data-driven decisions.

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.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.