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.

• Education:
• Bachelor's degree in business, finance, economics, analytics, information systems, or a related field.

• Required Experience

• Python or similar analytical programming experience is required.
• Experience working with SQL strongly preferred.
• Experience with reporting, visualization, analytics, or business intelligence tools preferred.
• AI-assisted analysis or coding experience is a plus
  

• Technical Skills
• Strong Microsoft Excel skills required.
• Strong analytical and problem-solving skills with the ability to translate business questions into data-driven analysis.
  

• Soft Skills

• 100% fluency in English, with exceptional verbal and written communication skills.
• Ability to work with both technical and non-technical stakeholders.
• Strong attention to detail and commitment to data accuracy.
• Proactive approach, strong work ethic, and willingness to learn.
• Ability to manage multiple requests and priorities in a fast-paced environment.
  
• Preferred Background / Industry Experience

• Experience in lending or financial services, business-user support, and data reconciliation preferred.