Engineer, Financial Analytics

Essential Duties & Responsibilities

• Support the development and maintenance of finance-aligned data models used for financial reporting, management analysis, and operational insights
• Aid in building and maintaining data pipelines within Microsoft Fabric / Azure, ensuring timely and accurate data availability
• Follow established financial controls, audit requirements, and reconciliation processes to support data integrity and compliance
• Prepare, transform, and validate data from ERP systems, subledgers, and other financial and CRM sources
• Provide support for systems and processes related to dividend calculations and allocations, as needed
• Maintain data quality and resolve discrepancies, ensuring accuracy, completeness, and consistency of financial data
• Apply analytical techniques to support financial reporting, trend analysis, and forecast tracking
• Avoidance of opportunities to improve and streamline finance processes, including automation of routine tasks

Knowledge, Skills & Abilities

• Ability to be solutions oriented, proactive, results driven and a self-starter that can work with little supervision
• Comfortable working in a fast-paced, and at times ambiguous, environment with the ability to shift gears quickly
• Strong knowledge and understanding of business needs, with the ability to establish and maintain a high level of trust and confidence
• Ability to analyze large data sets, identify trends, and communicate results to a variety of audiences
• Detail oriented with the ability to accurately multi-task to meet deadlines
• Highly organized with good time management skills
• Ability to work independently or effectively in a team

Qualifications & Experience

• Bachelor’s degree in Data Analytics and Engineering, Computer Science, Finance Accounting, or related field
• 3-4+ years of experience supporting finance, accounting, or financial systems
• Strong hands-on experience with financial data, ERP systems, and reporting processes
• Proven ability to deliver audit-ready data solutions within Finance organizations
• Microsoft Fabric / Azure data platforms Data pipeline development within financial data environments
• Advanced SQL/Power Query (including financial logic, stored procedures, and performance optimization)
• Data controls, validation frameworks, and reconciliation processes
• Power BI for finance reporting and semantic model support
• R programming or equivalent for financial analytics
• Building controlled, production-grade finance data processes