Business Data Support Analyst

This is a fully remote position, open to applicants in Costa Rica, +5 more countries.

📋 Description

• Assist business teams with reporting, data analysis, and daily data inquiries.

• Create and uphold regular management reports, dashboards, KPIs, and analytical outputs.

• Conduct ad hoc analyses to address business inquiries and support operational and management decisions.

• Convert stakeholder reporting and data requirements into precise analytical specifications.

• Explore data-related questions, inconsistencies, and reporting challenges; collaborate with data or technology teams to resolve issues.

• Examine reports and data outputs for precision, thoroughness, and uniformity.

• Aid in the documentation of enterprise KPIs, metric definitions, and reporting standards.

• Support business users in leveraging data, reports, and self-service analytical tools.

• Enhance, streamline, and automate ongoing reporting and analytical procedures.

• Assist with the testing and validation of reports, datasets, metrics, and analytical products.

• Contribute to other analytical projects and initiatives.

• Clarify and prioritize business data requests, communicate findings and obstacles, and document resolutions.

⛳️ Requirements

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

• Proficiency in Python or similar analytical programming is essential.

• Strong preference for experience with SQL.

• Preferred experience with reporting, visualization, analytics, or business intelligence tools.

• Experience in AI-assisted analysis or coding is advantageous.

• Required strong skills in Microsoft Excel.

• Excellent analytical and problem-solving abilities; capability to convert business inquiries into data-driven analysis.

• Fluency in English is mandatory, with outstanding verbal and written communication skills.

• Ability to collaborate with both technical and non-technical stakeholders.

• Meticulous attention to detail and dedication to data accuracy.

• Proactive mindset, strong work ethic, and eagerness to learn.

• Capability to handle multiple requests and priorities in a dynamic environment.

• Preferred experience in lending or financial services, business-user support, and data reconciliation.

• CV must be submitted in English.

🏝️ Benefits

• Paid time off (PTO).

• Fully remote work environment.

• Compensation in USD.