Omni BI Analyst

We are seeking a Revenue & Data Analyst to support economic analysis, data mining, and the design of analytical and pricing systems. This role sits at the intersection of revenue strategy, data, and technology, partnering closely with Revenue, Trading, Product, Finance, and Technology teams.

The ideal candidate is highly analytical, comfortable working with imperfect data, and motivated to move beyond spreadsheets toward scalable, automated decision-support systems.

Economic & Revenue Modeling

• Build and maintain economic models to evaluate pricing strategies, fees, FX spreads, partner economics, and corridor profitability.
• Perform scenario analysis, sensitivity testing, and stress modeling to support commercial and strategic decisions.
• Translate business questions into reusable, scalable quantitative frameworks.

Data Mining & Analysis

• Extract, clean, and analyze large datasets from transactional, pricing, partner, and market sources.
• Identify patterns, anomalies, and opportunities impacting revenue, margin, and growth.
• Develop clear, executive-ready insights from complex datasets.

Systems & Automation

• Help define and prototype analytical systems that reduce manual and ad-hoc analysis.
• Partner with Engineering, Product, and BI teams to design data pipelines, model logic, and system-ready specifications.
• Support the evolution of pricing, revenue, and decision-support engines.

Cross-Functional Support

• Partner with Revenue Management, Trading, Finance, and Product on partner negotiations, deal economics, new corridor or product launches, and optimization initiatives.
• Support leadership with ad-hoc analysis, deep dives, and strategic evaluations.

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

• Experience with Python, R, or similar analytical languages.
• Exposure to data engineering, BI tools, or system design concepts.
• Experience in financial services, payments, FX, fintech, or marketplace businesses.
• Experience translating analytical logic into production systems or prototypes.

• A problem-solver, not just a reporter.
• Able to turn ambiguity into structure.
• Comfortable working across business, data, and technology teams.
• Curious, rigorous, and commercially minded.

This role is critical to helping us scale and professionalize revenue decision-making, moving from static analysis to system-driven, repeatable economic intelligence. The position provides exposure to senior leadership decisions and meaningful influence on how revenue strategy is designed and executed.

  FTC26