Senior Data Analyst

Project overview

Profile sought

⚙️ Technical environment and necessary expertise

• Context: The Analytics Factory designs and develops analytical services to provide business teams with reliable data and analyses, supporting analytical transformation and decision-making in all areas.
• Team: Merchandise and Commercial Data Translation
• Pricing (Team size: 5 to 8 existing members, mix of DT & DA skills).
• Project: Pricing 2.0 Project (Continuity, high criticality level).
• Main missions:
• Understand and translate business issues into detailed and operational analysis plans.
• Perform complex quantitative analyses using SQL and Python (data collection, cleaning, analysis, and interpretation).
• Develop and maintain performance monitoring dashboards.
• Present results and recommendations to high-level stakeholders (Management, COMEX).
• Synthesize and formalize strategic and analytical decisions made.
• Actively participate in the continuous improvement of analysis processes and methods.
• Ensure the technical and analytical quality of the analyses.
• Deliverables: Analyses (presentations, work files, etc.) and Dashboards (Looker, Tableau).
• Education: Master's degree (engineering school or university) in IT or equivalent experience.
• Experience: More than 7 years of experience in Data Analysis.
• Sector: Experience in the retail / mass distribution sector.
• Skills: Expertise in analytical, business, and technical areas.
• Soft skills: Communicate clearly and effectively in writing and orally in French, analyze situations, meet deadlines with high quality standards, collaborate actively, and apply a continuous improvement mindset.

Requirements

• Develop expert end-to-end analyses (initial brief, analysis, delivery).
• Collaborate effectively with business and technical teams to produce reliable and actionable analyses.
• Master SQL and BigQuery, write and optimize complex queries to extract and analyze data.

Nice to have

• Manage and model data, design optimized pipelines in BigQuery, ensuring the quality, reliability, and consistency of analyses.
• Use Cloud environments, particularly GCP.
• Apply Python and its analytical libraries (Pandas, NumPy, PySpark) for processing and prototyping data solutions.
• Create and optimize interactive dashboards in Looker Studio and Looker, identify and track critical KPIs for business steering.
• Implement CI/CD with GitLab CI and manage versioning with Git.
• Apply DevOps principles to improve the reliability and efficiency of processing.
• Work in agile methodologies, particularly Scrum, Sprint Planning, and Backlog Refinement.

Project details

• Start: ASAP
• Duration: 1 an
• Remote: hybrid
• Location: Massy, Île-de-France, FR
• Languages: French