The individual in this role will support the expansion of enterprise analytics capabilities with a focus on lending and portfolio performance reporting. Responsibilities include designing, building, and maintaining dashboards and reports while managing semantic models. The role involves writing and optimizing notebooks to facilitate data transformation, analysis, and exploration. The professional will work within a modern data platform to prepare data for reporting and ensure high-quality insights. Additionally, the position requires performing data validation, reconciliation, and quality checks to maintain reporting accuracy. The role also entails troubleshooting issues across datasets and maintaining clear documentation of business logic and key performance indicators.

Candidates must possess a Bachelor’s or Master’s degree in Data Analytics, Information Systems, Finance, Business Analytics, or a related field. At least two years of professional experience in data analytics, business intelligence, or reporting is required. Applicants need strong proficiency in Power BI, SQL, and Excel, along with experience using Microsoft Fabric or similar data platforms. A working knowledge of Python or PySpark and familiarity with data modeling concepts such as star schemas are also necessary. Furthermore, the role requires experience working with large, complex datasets and the ability to communicate effectively with technical and business stakeholders.