Remote Data & Reporting Analyst for Business Insights

World Business Lenders, LLC.; United States; Remote; 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

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.