Descripción de la oferta
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 Analyst - Risk & Audit (M/F), 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
