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Lilian PeguinLP

Lilian Peguin

Supermalter

Data Analyst | Analytics Engineer

€600/day
4 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Lilian

With over 10 years of experience in Data, I design and deploy end-to-end analytical solutions, transforming raw data into concrete steering tools for business teams and decision-makers.

My areas of intervention:

➜ Transforming data into business value: data modeling, data flow reliability, KPI definition, and creation of decision-making dashboards for activity monitoring.

➜ Collaboration with business teams: requirements gathering, structuring key indicators, and writing functional and technical specifications to translate business challenges into concrete data solutions.

➜ Design and industrialization of data solutions: development of reliable and high-performance pipelines, data models, and reporting, directly used for operational monitoring and decision-making.

➜ Data Governance: structuring repositories, defining management rules, and implementing practices that guarantee data quality, consistency, and traceability.

➜ Delivery and development best practices: experience in Agile, SAFe, and V-cycle environments, with integration of CI/CD, quality, and data solution industrialization practices.

➜ Work in demanding environments: ability to work independently, in small teams, or within larger organizations, facilitating collaboration between technical and business teams.

➜ Team support: sharing data best practices, structuring work methods, and highlighting individual contributions to strengthen collective impact.

Availability: Immediate.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Lille (up to 50km), Lyon (up to 50km), Toulouse (up to 50km), Montpellier (up to 50km)

Experience

  • Crédit agricole SA
    Data Analytics & Engineering Lead / Head of SI & Cybersecurity Dashboards
    BANKING AND INSURANCE
    January 2025 - April 2026 (1 year and 3 months)
    Paris, France
    • Gathering and formalizing business requirements in close collaboration with business teams, designing, and developing group Cybersecurity and IT decision-making Power BI dashboards.

    • Designing high-performance data models (star schema) and transforming data using SQL and Python to ensure reliability and usability.

    • Developing fast, intuitive, and user-oriented Power BI dashboards with quick navigation and efficient filter management.

    • Continuously improving reporting ergonomics and structure (UI/UX, graphic charter) to facilitate their evolution while respecting business needs.

    • Analytical and technical referent: mentoring, disseminating best practices for modeling and data quality.
  • BNPP
    Data Analyst / Analytics Engineer
    July 2022 - February 2026 (3 years and 7 months)
    Paris, France
    • Designing analytical reports and strategic dashboards for the Group Legal department via Tableau Software to facilitate activity monitoring and key indicator tracking.

    • Designing high-performance semantic models (Azure Analysis Services tabular models): star schema modeling / data vault modeling to organize relationships between tables and integrate data in an optimized and clear manner into reports.

    • Advanced use of Azure Data Factory: designing high-performance pipelines, integrating and joining multi-source data, developing reusable components (datasets, linked services, parameterized pipelines), and automating processes via scheduled triggers.

    • Leveraging the Microsoft Azure ecosystem (Azure Data Lake Storage, Azure Data Factory) to industrialize the ingestion and processing of data from heterogeneous sources (on-premise, PostgreSQL databases), implementing robust and scalable pipelines.

    • Advanced use of Alteryx and Dataiku: designing high-performance workflows, integrating and joining multi-source data, developing reusable macros, and automating processes via task scheduling.

    • Preparing optimized datasets to meet RLS, historization, and performance challenges. Implementing good versioning practices with GitLab (version management, collaboration, and tracking of data pipeline evolutions).
  • Arquus Defense
    Data Analyst / Analytics Engineer
    DEFENSE AND MILITARY
    January 2021 - June 2022 (1 year and 5 months)
    Paris, France
    • Supply Chain and inventory management reporting.

    • Modeling and transforming data pipelines in a Cloud environment based on Google Cloud Platform, with structuring and industrialization of analytical transformations via DBT.

    • Migration of reports from Tableau to Power BI:

    ➜ Reverse engineering of existing Tableau dashboards and adaptation of calculation logic to Power BI (reconstruction of KPIs, transposition of Tableau formulas to DAX, optimization of data models)

    ➜ User training and acculturation: presentation of new Power BI dashboards and key differences with Tableau (navigation, filters, KPI logic)

    ➜ Operational support: user assistance, answering questions, and clarifying misunderstandings during initial use.

    • Designing interactive analytical applications with Streamlit to leverage AI model results and develop data application tools for business users.

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Education

  • Equivalence Bac +3, Formation analyse de données
    WildCodeSchool
    2015
    Equivalence Bac +3, Formation analyse de données

Skill set (43)

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