Business Intelligence Analyst (REL Predictive Analytics)
Role details
Job location
Tech stack
Job description
The REL Predictive Analytics (PA) team operates as a central planning and forecasting function for Real Estate Lending. The team is expected to perform as a highly specialized capability with a connective purpose across REL executives and the enterprise. They are responsible for translating economic conditions, internal strategy, and operational realities into a coherent, defensible outlook for the business. The team's function sits at a rare intersection of economics, modeling rigor, and executive storytelling that requires precision, credibility, and the ability to defend assumptions across REL. Forecasts are grounded in a synthesis of unemployment trends, inflation dynamics, housing price movements, 30 year mortgage rate changes, and Moody's economic forecasts within alignment of the enterprise. This enables leadership to understand not only what volumes are expected, but why mix, timing, and risk profiles are evolving across Purchase, Refinance, and Equity, and what those changes imply for financial planning, pricing, capacity, and downstream execution.
Support business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights, and trends to leadership via dashboards and reports. Analyze business problems and issues using business intelligence tools that incorporate data from internal and external sources. Developing an understanding of business needs and objectives. Solve a range of mostly straightforward problems with some increased scope and complexity. Developing professional with basic skill set and proficiency with procedures and analysis techniques
Responsibilities
- Follow standard procedures to create and/or update moderately complex reports and dashboards
- Identify and analyze trends or patterns and prepare ongoing reports and data visualizations in order to support business decisions
- Contribute to reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems
- Communicate findings and insight to peers and mid-level management
- Create specifications for reports and analysis based on business needs and required or available data elements
- Collaborate with team members and participate in team projects and initiatives
- Effective skill using statistical methods, mathematical techniques, forecasting, cost-benefit analysis
- Working knowledge of various data structures and the ability to manipulate data within visualization tools
- Knowledge of data integration, cleaning and validation techniques
- Skill in utilizing work products to tell a story through appropriate balance of visualizations, design aesthetics, and words
- Collaborate with senior leadership and cross-functional teams
Requirements
- 2-5 years of experience in data analysis and reporting
- Basic understanding of business and operating environment
- Effective skill using business intelligence applications and/or cloud services
- Knowledge of reporting capabilities of existing ERP, CRM and/or database software vendors
- Knowledge of data integration, cleaning and validation techniques
- Effective skill using statistical methods, mathematical techniques, forecasting, cost-benefit analysis
- Working knowledge of various data structures and the ability to manipulate data within visualization tools
- Research skills
- Interpersonal skills
- Bachelor's Degree in Business Administration, Statistics, or related field
