Revenue & Data Analyst – Economic Modeling & Automation

About the role

Ria Money Transfer is seeking a Revenue & Data Analyst to drive economic analysis, data mining, and the early‑stage design of analytical and pricing systems. The role sits at the intersection of revenue strategy, data science, and systems thinking, partnering with Revenue, Trading, Product, and Technology teams.

Key responsibilities

• Build and maintain complex economic models to evaluate pricing strategies, fees, FX spreads, partner economics, and corridor‑level profitability.
• Perform scenario analysis, sensitivity testing, and stress modeling to support commercial and strategic decisions.
• Extract, clean, and analyze large datasets from multiple sources, identifying patterns, anomalies, and revenue opportunities.
• Develop executive‑ready insights and translate business questions into reusable quantitative frameworks.
• Define and prototype analytical systems to reduce manual, ad‑hoc analysis, collaborating with Engineering, Product, and BI teams.
• Design data pipelines and translate economic models into system‑ready specifications.
• Support partner negotiations, new corridor or product launches, and ongoing optimization initiatives.
• Provide ad‑hoc analysis, deep dives, and strategic evaluations for leadership.

Required profile

• Strong analytical background in Economics, Finance, Mathematics, Statistics, Engineering, or a related field.
• Demonstrated experience building economic or financial models (pricing, unit economics, margin analysis, etc.).
• Advanced proficiency in Excel and solid working knowledge of SQL.
• Experience working with large, imperfect, or fragmented datasets.
• Ability to clearly communicate complex analysis to non‑technical stakeholders.

Required skills

• Excel
• SQL
• Python (preferred)
• R (preferred)