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Yassine E.YE

Yassine E.

Analytics Engineer | Data & BI — Power BI · Looker

€610/day
1 project
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Yassine

I am Yassine, Analytics Engineer & BI Lead with over 8 years of experience. I help data and business teams transform their raw data into reliable, readable, and actionable reporting – whether at a major company like Cartier or Sonepar, or in a fast-growing scale-up like Exotec.

My playground: the Modern Data Stack (dbt, BigQuery, Power BI, Looker) combined with a real understanding of business needs – finance, marketing, sales, logistics, HR.
Concretely, I am involved in:

🔍 Audit and scoping — understanding where your data is hindering decision-making
🧱 Modeling — building robust and maintainable dbt pipelines
📊 Visualization — Power BI or Looker dashboards that your teams truly adopt
⚙️ Governance — standardizing, documenting, and industrializing your BI practices
🎓 Training — making your teams autonomous on their data tools

What sets me apart? I speak as fluently with developers as with business directors. I don't just deliver a report — I ensure it's used.

📩 Do you have a data or BI project? Let's connect, even for 30 minutes to clarify your needs.

🚀 Results achieved

◦ Reliable and industrialized reporting
◦ Faster and better-driven decisions
◦ Reduction of BI technical debt
◦ Increased adoption of Self-BI
◦ Measurable ROI on Data & Analytics projects
  • Arabic

    Native or bilingual

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Bordeaux (up to 50km), Lille (up to 50km), Nantes (up to 50km), Lyon (up to 50km)

Experience

  • NF Capital
    Data Analyst – Metabase Governance & Architecture
    AGRICULTURE
    March 2026 - Today (5 months)
    Paris, France
    ✅ Implementation of a rights and permissions policy on Metabase: access management by team, definition of rules on public links, restriction of sensitive data.

    ✅ Design and structuring of main SQL/GUI questions and dashboards by team with integrated documentation and business-oriented UX.

    ✅ Verification, correction, and deletion of unused or obsolete queries.

    ✅ Production of complete documentation (tables, columns, data models, metrics) on Metabase / Azimutt.

    ✅ Definition and implementation of key metrics as a single source of truth: gender balance, user sessions, LP engagements, fund valuations, dealflow — via Metabase's Metrics feature.

    Metabase, SQL, Notion
    SQL Metabase UI/UX Design Data Governance Business Analyst
  • Artefact Open Innovation
    Malt logoOn Malt
    Looker Training
    DIGITAL AND IT
    March 2026 - March 2026
    Fribourg, Switzerland
    • Lead training sessions on Looker usage (navigation, data exploration, dashboards).
    • Answer user questions and resolve issues encountered during training.
    • Assist teams in creating and optimizing their dashboards.
    • Write and maintain Looker documentation and user guides.
    LookerML Looker Data Visualization Data Visualization Training Facilitation
  • Exotec SAS
    Analytical Engineer
    LOGISTICS AND SUPPLY CHAIN
    April 2024 - February 2026 (1 year and 10 months)
    ✅ Requirements Gathering & Documentation → Rigorous gathering and documentation of requirements in collaboration with business teams to ensure KPI relevance.
    ✅ Layered Data Architecture → Design and implementation of a Staging / Intermediate / Mart architecture on DBT and BigQuery (GCP), integrating multiple sources (SAP, ServiceNow, Workday, Business Central, Salesforce).
    ✅ SAP HANA Migration → Development of Custom CDS Views via Eclipse for extraction and validation of migrated data.
    ✅ DBT Transformations → Creation of advanced DBT transformations (seeds, snapshots, macros) to automate the processing of critical data volumes.
    ✅ Data Quality → Implementation of DBT unit tests (unique, not_null, accepted_values) and table relationship tests to validate data reliability.
    ✅ Lineage & Traceability → Management of data lineage to ensure complete traceability of transformations across different pipelines.
    ✅ SQL query optimization to improve processing performance and reduce resource consumption.
    ✅ Power BI Dashboards → Development of reports with complex DAX measures, optimized modeling, and RLS implementation for business reports.
    ✅ Looker & Self-Service Data → Development and maintenance of LookML models on Looker for internal clients and creation of a self-service data platform.
    ✅ Management KPIs → Creation of KPIs for monitoring cloud costs and data platform adoption, used by management.
    ✅ Performance & UX/UI → Optimization of existing report performance (reduction of loading times, UX/UI improvement).
    ✅ Documentation & Standards → Implementation of a standardized documentation framework and versioning via GitLab. Detailed technical documentation for each process step.

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