Business Data Support Analyst

World Business Lenders, LLC.; United States; On-site; USD 75,000 - 110,000; Full time

Benefits offered by this job

Paid time off (PTO)

Fully remote work

Competitive USD compensation

Job summary

World Business Lenders (WBL) is seeking an analytical professional for a fully remote role within IDEA - Intelligence, Data, Engineering & Analytics. You will support business users with reporting, analysis, and data questions.

Responsibilities include delivering recurring reports and dashboards, ad hoc analyses, validating data, and translating business needs into clear analytical requirements. Strong Python/SQL skills and Excel are essential.

Qualifications

• Bachelor's degree in a related field.
• Proficiency in Python and SQL for data reporting and analysis.
• Experience with reporting, visualization, or BI tools preferred.
• AI-assisted analysis or coding is a plus.

Responsibilities

• Support 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 decision-making.
• Translate business needs into clear analytical requirements with stakeholders.
• Investigate data questions and coordinate with data/tech teams to resolve issues.
• Review data outputs for accuracy and completeness.
• Help document KPIs, metric definitions, and reporting standards.

Skills

Python

SQL

Data analysis

Excel

Education

Bachelor's degree in business, finance, economics, analytics, information systems, or related field

Tools

Excel

Tableau/Power BI

Job description

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.

Requirements

• 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.

Benefits

• Compensation in USD.
• Benefits include paid time off (PTO).
• Work Environment: Fully remote work environment.