Business Data Support Analyst

Overview World Business Lenders (WBL) provides short-term, real estate-backed commercial loans to small and medium-sized businesses across the United States. This is a fully remote position for an analytical professional with strong critical-thinking, investigative, documentation, and communication skills.

About the Role Within IDEA — Intelligence, Data, Engineering & Analytics — this hands-on role supports business users with reporting, analysis, and data questions under the Analytics & Decision Support function.

What Success Looks Like Deliver accurate reports on time, resolve routine requests independently, and communicate findings and blockers clearly.

Typical Day-to-Day Clarify and prioritize business data requests. Prepare reports, investigate discrepancies, and explain findings. Coordinate fixes, validate changes, and document resolutions.

Key Objectives for This Role (Quarterly Focus) Learn WBL’s data and lending processes, take ownership of assigned reports, and improve recurring workflows.

What You'll Be Doing (Core Responsibilities) Support business teams with reporting, data analysis, and day-to-day data requests. Prepare and maintain recurring management reports, dashboards, KPIs, and other analytical outputs. Perform ad hoc analysis to answer business questions and support operational and management decision-making. Work with business stakeholders to understand reporting and data needs and translate them into clear analytical requirements. Investigate data questions, discrepancies, and reporting issues and coordinate with the appropriate data or technology teams to resolve them. Review data and reporting outputs for accuracy, completeness, and consistency. Support the development and documentation of enterprise KPIs, metric definitions, and reporting standards. Help business users understand and effectively use available data, reports, and self-service analytical tools. Identify opportunities to improve, simplify, and automate recurring reporting and analytical processes. Assist with testing and validation of new reports, datasets, metrics, and analytical products. Support other analytical projects and initiatives as assigned.