Business Data Support Analyst

Company shown to members 🔒 · Remote · Brazil, Argentina, Costa Rica +1 only

Brazil, Argentina, Costa Rica +1 onlyExperience required (years not stated)Published 6 October 2026Looks fresh

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First recorded by Psst: 13 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Experience required (years not stated)
Where you can live
Brazil, Argentina, Costa Rica +1 only
Languages
English
Skills and tools
excel, reconciliation, sql, python, data analysis, documentation
Degree or licence
Mentioned (bachelor's)
Job type
Full-time

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
Brazil, Argentina, Costa Rica, El Salvador
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
Experience required (years not stated)
Employer publication date
6 October 2026
First recorded by Psst
13 October 2026
Last checked at the source
9 November 2026

About the job

Overview

  • World Business the company (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.

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