Business Data Support Analyst

• Support business teams with reporting, data analysis, and day-to-day data requests
• Prepare and maintain recurring management reports, dashboards, KPIs, and analytical outputs
• Perform ad hoc analysis for business questions and operational and management decision-making
• Translate stakeholder reporting and data needs into clear analytical requirements
• Investigate data questions, discrepancies, and reporting issues; coordinate resolutions with data or technology teams
• Review reports and data outputs for accuracy, completeness, and consistency
• Support documentation of enterprise KPIs, metric definitions, and reporting standards
• Help business users use data, reports, and self-service analytical tools
• Improve, simplify, and automate recurring reporting and analytical processes
• Assist with testing and validation of reports, datasets, metrics, and analytical products
• Support other analytical projects and initiatives
• Clarify and prioritize business data requests, communicate findings and blockers, and document resolutions

• Bachelor's degree in business, finance, economics, analytics, information systems, or a related field
• Python or similar analytical programming experience 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
• Strong Microsoft Excel skills required
• Strong analytical and problem-solving skills; ability to translate business questions into data-driven analysis
• 100% fluency in English, with exceptional verbal and written communication skills
• Ability to work with 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
• Experience in lending or financial services, business-user support, and data reconciliation preferred
• CV must be submitted in English

• Paid time off (PTO)
• Fully remote work environment
• Compensation in USD