Business Data Support Analyst

Full-timeRemote
Buenos Aires, Buenos Aires, arvia Workable ATSPosted Oct 6, 2026
Match with my CV

Technical skills

PythonSQLData analysisBusiness intelligenceTechnical writing

Role signals

Finance

About this role

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

What We Offer

  • 💰 Compensation in USD.
  • 🏖️ Benefits include paid time off (PTO).
  • 🌍 Work Environment: Fully remote work environment.
  • Ready to Apply?
  • If this sounds like you, we'd love to hear from you - submit your CV in English and hit Apply!

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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