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Stéphane TchoconteST

Stéphane Tchoconte

DATA PROJECT MANAGER | PRODUCT OWNER | SCRUM MASTER

€580/day
1 project
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Stéphane

Passionate for years about business intelligence and data management in general, I carry out missions on the study and implementation of BI tools from the upstream phase (scoping, analysis, costing, planning, committee management) to development, training, and deployment.
With 8 years of experience in data management, I can understand complex business challenges and help you implement efficient and adapted solutions.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 30km)

Experience

  • SERVIER
    BI Project Manager - Decision Support
    PHARMACEUTICALS INDUSTRY
    August 2025 - Today (1 year)
    Suresnes, France
    HR Data & People Analytics Lead – Global HRIS Program
    Servier – International pharmaceutical group

    Leading and structuring an international HR Data & People Analytics program aimed at leveraging HR data from the global SAP SuccessFactors HRIS to enhance strategic human resources management for the group.

    Involvement across the entire HR data lifecycle: recruitment, onboarding, headcount monitoring, performance management, annual reviews, diversity & inclusion, as well as analyzing key indicators such as voluntary turnover, HR performance, and management indicators.

    Defining and formalizing group HR management rules and People Analytics indicators, harmonizing data between SuccessFactors, local HR systems, and the MDM repository. Structuring an HR business glossary to ensure consistency of indicators internationally.

    Implementing HR data governance: identifying Data Owners and Data Stewards, formalizing data definitions, and integrating them into the DataGalaxy governance platform.

    Structuring and exploiting HR data via SuccessFactors API and data modeling in Google Cloud Platform to produce reliable and industrialized People Analytics indicators.

    Designing and deploying strategic dashboards in Microsoft Power BI for the Executive Committee, top management, and HR Business Partners, including secure access models (Row Level Security) and GDPR-compliant aggregated views.

    Implementing HR Data Quality indicators to identify data entry inconsistencies in SuccessFactors and ensure consistency between HRIS and MDM.

    Leading UAT, conducting analytical POCs, and industrializing data pipelines, enabling daily updates of HR indicators and global oversight of the group's HR data.
    Microsoft Power BI SAP SUCCESS FACTOR Agile methodology User Acceptance Testing (UAT) Business Analysis
  • Transdev
    BI Project Manager - Decision Support
    TRANSPORTATION
    January 2025 - March 2026 (1 year and 2 months)
    Issy-les-Moulineaux, France
    Scoping and designing the HR data architecture to structure multi-country HR data.
    Developing an interface contract and a data model to be implemented in the Snowflake database and BI Reports.
    Supervising data flows: monthly ingestion of files deposited via SFTP/S3, Talend processing, Snowflake loading with business-oriented quality controls.

    Defining the governance strategy: role management, row-level security, dynamic filtering by country, GDPR anonymization.
    Liaising with HR business teams: gathering requirements, assisting countries in understanding security rules and the functioning of Power BI reports.

    Implementing Power BI reporting: Direct Query configuration, row-level security, SSO authentication, automatic data filtering based on user email address.

    Data Quality: Implementing a data quality improvement procedure using business and technical rules.

    UAT (User Acceptance Test): validating developments.

    Cross-functional multi-country coordination: coordinating exchanges between the central group, country data owners, local IT departments, and technical partners.

    GDPR Compliance & Cybersecurity: formalizing masking/anonymization rules, managing sensitive authorizations, and implementing a robust privacy policy.
    Autonomous project management: planning, follow-up committees, risk management, reporting, and deliverable coordination.

    Contributing to continuous improvement: recommending technical and functional optimizations (performance, governance, report usability).

    Advising and upskilling teams: knowledge transfer to local and centralized teams, documentation, and training.

    Corrective and evolutionary maintenance
    Implementing a log tracking tool

    Technical environment: SCRUM/Azure Devops/AWS S3/Snowflake/ Talend/ Power BI
    Microsoft Power BI Scrum Master Business intelligence Talend Business Analysis
  • Carrefour
    Data Product Manager
    RETAIL (LARGE RETAILERS)
    July 2024 - July 2025 (1 year)
    Massy, France
    - Needs Analysis: Identifying specific supply chain challenges and needs (inventory management, demand forecasting, logistics, procurement) in collaboration with business managers (logistics, purchasing, production).

    - Prioritization of Requests: Identifying key performance indicators (KPIs) that influence supply chain operations: delivery times, stockout rates, inventory turnover rates.

    - Translating Needs into Data Solutions

    - Transforming operational needs into analytical or technological solutions to improve supply chain management.

    - Overseeing the creation of data models, dashboards, and data analysis tools (Looker) for monitoring and improving supply chain performance.

    - Interdisciplinary Coordination: Collaborating with technical teams (data analysts, data engineers, data quality engineers) and business teams (logistics, procurement, purchasing) to ensure alignment between developed solutions and user needs.

    - Development Monitoring: Tracking the production deployment of data products within existing systems
    Data Quality: Test automation.
    Data Integration: Facilitating the integration of various internal and external data sources (GCP/Azure)
    - Implementing specific key performance indicators for the supply chain: service rate, inventory turnover rate, lead times.

    - Developing supply performance monitoring dashboards (LOOKER)

    - Tracking user experience NPS (product fruits)

    - Discovery/Delivery of upstream and downstream flows

    - Technical Stack: GCP BIG QUERY LOOKER

    - Project Management: SAFE METHODOLOGY/ SCRUM/ JIRA/ Confluence
    Scrum Master Atlassian JIRA Looker Studio Supply chain Data quality

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Education

  • Engineering Degree, Industrial Engineering
    Arts et Métiers ParisTech - National Engineering School of Arts and Crafts
    2018
    Diplôme d'ingénieur, Génie industriel
  • Bachelor's Degree in Mechanical Engineering, Physical Sciences
    University of Lille
    2015
    Licence Genie Mécanique, Sciences physiques

Certifications

  • SCRUM MASTER
    SCRUM
    2023
  • RNCP BIG DATA ANALYST
    OPENCLASSROOM
    2020

Skill set

Categories