Principal Business Analyst

Our client is a leading professional services firm providing audit, tax, strategy, transaction, and consulting services to clients in the financial services sector.

The Digital Factory team drives technological innovation and digital transformation initiatives across service lines, supporting critical business operations while maintaining the highest regulatory compliance and security standards. Undergoing digital transformation. They specialize in implementing advanced AI solutions across their business operations and are committed to leveraging cutting-edge technology to drive innovation and efficiency.

Our client is seeking a talented and motivated Senior Data Analyst to join our dynamic Digital Factory team at Luxembourg. In this role, you will analyze, develop, support, and maintain applications using Azure Data Factory (ADF). You will collaborate with stakeholders to gather feedback, ensure the application performs as expected in the production environment, and maintain high levels of customer satisfaction.

Our Digital Factory team provides access to the latest technology, data capabilities and infrastructure to accelerate innovation. Digital Factory Luxembourg is a diverse and international group of digital experts, including designers, developers, AI specialists, and business professionals, focused on creating valuable digital solutions for our clients and stakeholders.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

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.

Technology Requirements:

• Proficiency in SQL, Python, and Spark/PySpark.
• Strong experience in data modeling and transforming complex datasets into structured formats.
• Familiarity with C#/.NET and Azure cloud services, is a nice to have.

General Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Accounting, or a related field.
• 3+ years of experience in data analytics, preferably within an audit or assurance environment.
• 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.
• Exposure to the Wealth and Asset Management (WAM) sector (is a nice to have).
• Basic knowledge of audit and accounting principles (is a nice to have).

Other skills:

• Strong analytical skills, conceptual thinking, and a pragmatic approach to problem-solving.
• Outstanding stakeholder management and ability to build relationships through clear communication.
• Certifications such as Agile (Scrum, Product Owner), or business analysis certifications (CBAP, PMI-PBA) are a plus.