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Business Data Support Analyst

World Business Lenders · Удалённо · El Salvador; Guatemala

# Business Data Support Analyst **World Business Lenders** · El Salvador; Guatemala · `Remote` · `Full Time` 💼 **Уровень роли:** `Entry-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Business-Support-Analyst]` `[Data-Analyst]` `[Business-Analyst]` `[Reporting-Analyst]` `[Analytics-Analyst]` `[Business-Data-Analyst]` `[Data-Support-Specialist]` `[Support-Business-Analyst]` `[Data-Business-Analyst]` `[Business-Information-Analyst]` `[Junior-Data-Support-Analyst]` --- ### About the 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! Originally posted on Himalayas

Наблюдалась 2026-10-08, впервые 2026-10-08, источник — Himalayas (JSON API).

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