Why Join Us?
Lea atentamente toda la información sobre esta ocasión y luego utilice el botón de solicitud de abajo para enviar su CV y su candidatura.
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. xhfqzwm
- 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