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Sif-Eddine Y.SY

Sif-Eddine Y.

Analytics Engineer

€550/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Sif-Eddine

Analytics Engineer - Data Analyst - Modern Data Stack

I design and develop robust, modular, and automated data pipelines based on the modern data stack, transforming raw data into reliable, scalable, and directly actionable insights for business teams.

Through a hybrid background combining data engineering, analytics, data science, and business understanding, I implement solutions that are technically sound, analytically rigorous, and aligned with the strategic objectives of organizations.

My added value? A versatile approach: analytical rigor, engineering structure, and an impact-oriented vision to convert data into concrete decisions.

Open to missions where data plays a central role in performance and growth.

#GCP #Bigquery #Snowflake #Cloud #dbt #Integration #Transformation #CRM #Retail #Dashboard
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Lille (up to 10km), Marseille (up to 10km), Montpellier (up to 10km), Lyon (up to 10km)

Experience

  • Groupe ETAM
    Analytics Engineer
    RETAIL (SMALL BUSINESS)
    January 2025 - January 2026 (1 year)
    Paris, France
    - Ad-hoc analyses for the group's different brands (Etam, Maison 123, Undiz, Livy, Ysé).
    - Data ingestion to the new data platform (Snowflake).
    - Analytical modeling with dbt (tests, models, documentation).
    - Development of steering dashboards (Tableau, BO).
    - Participation in the implementation of a data observability tool (Sifflet) to monitor loads and ensure data consistency.
    - Guarantee data availability and reliability.
    - Documentation of processes.
    DBT Snowflake Airflow SAP BW Tableau
  • BUT
    Data Analyst
    RETAIL (SMALL BUSINESS)
    August 2023 - September 2024 (1 year and 1 month)
    Paris, France
    - Monitoring and analysis of marketing campaigns, identification of trends, and adjustments to targeting strategies.
    - Segmentation and profiling of customers to improve engagement, conversion, and retention.
    - Design, automation, and maintenance of dashboards and datamarts ensuring reliable data for real-time steering.
    - Contribution to the implementation of a data catalog and optimization of analyses, ensuring an effective bridge between data engineering and data analytics.
    - Implementation of business and marketing KPIs to measure the impact of operational actions.
    - Performance of ad hoc analyses (customer journey, acquisition, loyalty, ROI) to guide strategic decisions.
    SQL BigQuery Tableau DBT Customer Data Platform

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Education

  • Msc Data For Business
    Albert School
    2024
    1ere école de Data x Business
  • M2, Data Science
    Université Paris-Saclay
    M2, Data Science

Certifications

Skill set

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