EY Digital Factory - Senior Data Analyst Supervising Associate 

Luxembourg 

100464994

Key Responsibilities:

• Collaborate with audit teams to understand data requirements and deliver tailored analytics solutions.
• Extract, clean, and transform large datasets from various sources to support audit procedures.
• Analyze and transcribe financial data into Entity Relationship (ER) diagrams to support structured data modeling.
• Develop dashboards and visualizations using tools like Power BI, Tableau, or Spotfire to communicate insights effectively.
• Apply statistical and analytical techniques to identify anomalies, trends, and patterns in financial and operational data.
• Support the development and deployment of data models and scripts using SQL, Python, and PySpark.
• Ensure data quality and integrity throughout the analytics lifecycle.
• Document processes and methodologies to ensure transparency and repeatability.
• Contribute to the continuous improvement of data analytics capabilities within the Assurance practice.
• Stay current with emerging technologies and trends in data analytics and assurance.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Accounting, or a related field.
• 4+ years of experience in data analytics, preferably within an audit or assurance environment.
• Proficiency in SQL, Python, and Spark/PySpark.
• Strong experience in data modeling and transforming complex datasets into structured formats.
• Experience in the financial sector, with a solid understanding of financial data structures.
• Ability to analyze and transcribe financial data into ER diagrams for structured analysis.
• Excellent problem-solving and analytical skills with attention to detail.
• Ability to communicate complex data insights clearly and effectively to non-technical stakeholders.
• Familiarity with data governance, privacy, and compliance standards.
• Experience working in Agile teams and using project management tools like Jira or Trello is a plus.

Ideally, You'll Also Have

• Familiarity with C#/.NET and Azure cloud services.
• Exposure to the Wealth and Asset Management (WAM) sector.
• Basic knowledge of audit and accounting principles.

What we offer you

Building a better working world

Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.