Alliance Automotive Group (AAG) is a leading automotive parts distributor serving independent aftermarket clients across Europe, operating in nine countries including France, the UK, Ireland, Germany, Spain, Portugal, the Netherlands, Belgium, and Poland. As part of Genuine Parts Company, a general leader in automotive and industrial parts distribution, AAG offers a dynamic, international environment committed to growth, innovation, and operational excellence.
Our Data & Analytics team at AAG, composed of 15 experts across Europe, transforms data into performance drivers for our business teams across multiple domains such as Purchasing, Finance, Supply‑Chain, HR, and more.
Your Responsibilities
- Identify, prioritize business needs and map data domains.
- Design and develop data analytics solutions (data models, exploratory analysis).
- Ensure data quality, integrity, and reliability through automated controls in collaboration with data governance experts.
- Deliver insights dynamically through data visualization tools (PowerBI) in a Cloud environment (Fabric).
- Work in an agile environment with IT and business teams through sprints.
- Drive user adoption through training, communication, and monitoring of BI access and usage metrics.
Functional Scope
- Purchasing: supplier performance, purchasing forecast, category management, rebates analysis.
- Sales: sell‑through, margin analysis, price analysis, product / customer segmentation.
- Supply Chain: inventory analysis, supplier & inbound performance.
- HR: workforce planning, cost control, multi‑market HR harmonization.
Our Technology Stack
- Methodologies: Agile, Design Thinking.
- Cloud Platform: Microsoft Fabric.
- Visualization tools: PowerBI.
- Data languages & tools: SQL, Python.
Profile
- Graduate from an engineering school or university (Master’s degree) with a specialization in Information Systems, Data, or Data Science.
- Proven experience as a Data Analyst (internship, apprenticeship, or full‑time role) with at least one expertise in data processing and data visualization tools.
- Curious, methodical, with a solid technology mindset and an interest in exploratory data analysis.
- Eager to contribute to innovative projects, working in teams with rigor, responsiveness, and energy.
- Strong team spirit, attention to detail, and interest in new technologies.
- Motivation to contribute to high‑impact, business‑driven projects.
- Experience working with large‑scale reporting environments.
- Fluent in English.
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