Why Join Us?
Alliance Automotive Group (AAG) is a leading automotive parts distributor serving independent aftermarket clients across Europe, with operations in 9 countries including France, the UK, Ireland, Germany, Spain, Portugal, the Netherlands, Belgium, and Poland.
As part of Genuine Parts Company, a global leader in automotive and industrial parts distribution, you will join a dynamic, international organization committed to growth, innovation, and operational excellence.
Join Our AI & Data Team
Are you passionate about data, artificial intelligence, and their impact on strategic decision-making? Do you want to grow in a stimulating environment with business and technology challenges?
Join our Data & Analytics team at AAG, composed of 15 experts in Europe (Data Analyst, Data Scientists, Data Engineers, Data Architects, Data Product Owners, etc.), where we transform data into performance drivers for our business teams.
Your Responsibilities
As a Data Analyst, you will support our business teams to leverage their data to design innovative, pragmatic & high-impact data products across multiple domains (Purchasing, Finance, Supply-Chain, HR, etc.):
Identify, prioritize business needs and map data domains
Design & develops data analytics solutions (data models, exploratory analysis)
Ensure data quality, integrity and reliability through automated controls, with the help of our data governance experts
Deliver insights dynamically through data visualization tools (PowerBI) in a Cloud environment (Fabric)
Work in agile with our IT & business teams through sprints
Drive user adoption through training, communication, and monitoring of BI access & usage metrics
Functional Scope
You will work on retail-related topics such as:
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