Business Data Support Analyst

World Business Lenders

22h•Remote

About The Position

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. 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.

Requirements

Bachelor's degree in business, finance, economics, analytics, information systems, or a related field.
Python or similar analytical programming experience is required.
Strong Microsoft Excel skills required.
Strong analytical and problem-solving skills with the ability to translate business questions into data-driven analysis.
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.

Nice To Haves

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

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.