Why Join Us?
Alliance Automotive Group (AAG) is a leading automotive parts distributor serving independent aftermarket clients across Europe, operating in France, the UK, Ireland, Germany, Spain, Portugal, the Netherlands, Belgium, and Poland.
As part of Genuine Parts Company (GPC), a global leader in automotive and industrial parts distribution, you will join a dynamic, international organization committed to growth, innovation, and operational excellence.
You will be part of AAG’s Internal Audit & Risk Management Department, working at the intersection of business performance, risk management, and advanced analytics across multiple European markets.
Your Impact
As a Data Risk & Analyst, you will transform data into high-impact insights and scalable data products that:
Strengthen fraud prevention and internal controls
Enable continuous audit and risk monitoring
Improve data quality and governance at a European level
Accelerate data-driven decision-making and risk identification
Your Responsibilities
Business & Risk Analytics
Extract, clean, and analyze data from multiple systems.
Detect anomalies, trends, and potential fraud indicators and prevention.
Translate business challenges into actionable analytics solutions.
BI Development & Data Visualization
Design, develop, and optimize Power BI dashboards & manage monthly BI releases and enhancements.
Develop complex queries using SQL and Python.
Automation & Continuous Monitoring
Design automated audit and control monitoring tools.
Implement data quality checks and automated validation rules.
Enable continuous risk assessment through advanced analytics.
Leverage AI tools and automation technologies to improve audit and operational efficiency.
Data Quality & Governance
Assess data quality and identify and lead remediation actions.
Collaborate with data governance experts to ensure integrity and reliability.
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 3 to 5 years of experience as a Data Analyst, 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, and interested in new technologies
Experience working with large-scale reporting environments
Fluent in English, another language is a plus