Freelancer profile translated to English.

Description

Business Data Analyst & Microsoft Certified, specializing in data valorization and supporting business units in their digital transformation.

I work across the entire data value chain, from collection to reporting, with particular expertise in Azure environments, visualization tools (Power BI, MicroStrategy), and data governance and analysis processes.

Microsoft Azure Certifications

🏅Microsoft Certified: Fabric Analytics Engineer (DP-600)

🏅Microsoft Certified: Azure Data Engineer (DP-203)

🏅Microsoft Certified: Power BI Data Analyst (PL-300)

🏅Microsoft Certified: Azure Data Fundamentals (DP-900)

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Société Générale
Data Business Analyst
BANKING AND INSURANCE
September 2023 - September 2025 (2 years)
La Défense, Puteaux, France
Data support on strategic projects (Business Assets, Portfolio Purity, Bank HR Management) for the bank's network.

♦Gathering and formalizing business needs (workshops, user stories, business rules).
♦Managing data projects: scoping, design, and delivery of solutions in conjunction with business units.
♦Processing complex data: extraction, cleaning, and analysis while ensuring quality.
♦Designing interactive dashboards for precise monitoring of business KPIs.
♦Automating data flows with SAS.
♦User support and change management.
♦Participation in functional acceptance testing to ensure the reliability of critical data flows.
Python SQL SAS Spark Teradata
AriCam
Azure Data Engineer
E-COMMERCE
February 2023 - June 2023 (4 months)
Limoges, France
Implementation of a data analysis and reporting infrastructure on the Microsoft Azure cloud:

♦Collection and understanding of business needs and data.
♦Batch data storage in the data lake. Use of Azure DataBricks and Spark with Python for ETL tasks.
♦Storage of final data in a Data Warehouse.
♦Creation of Data Pipelines and orchestration of data processing tasks using Azure Data Factory.
♦Building a Dashboard with Power BI to visualize transformed data.
♦Creation of deployment services to visualize processed data Dashboards.
♦Monitoring the performance of created ETL packages and optimizing their execution using the parallelism method.
Indépendant
Data Analyst
E-COMMERCE
October 2022 - December 2022 (2 months)
Limoges, France
Analysis of an IT company's sales to identify trends and aid decision-making through a dashboard:

♦Collection and understanding of business needs to identify KPIs.
♦Data modeling using the star schema.
♦Creation of an ETL pipeline with Dataflow in Power BI to extract data stored in a database.
♦Data cleaning and transformation using SQL and Power Query Editor DAX Syntax.
♦Dashboard development and publication with the Power BI Service.