Revenue & Data Analyst (OMNI BI Analyst)

About the RoleWe are looking for a highly analytical Revenue & Data Analyst (OMNI BI Analyst) to support complex economic analysis, data mining, and the early design of analytical and pricing systems.This role sits at the intersection of revenue strategy, data science, and systems thinking, working closely with Revenue, Trading, Product, and Technology teams.
Key ResponsibilitiesBuild 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.Identify patterns, anomalies, and opportunities impacting revenue, margins, and growth.Translate complex datasets into clear, executive-level insights.Support the development of scalable and automated analytical solutions.Collaborate with Engineering, Product, and Business Intelligence teams on data pipelines and model logic.Support partner negotiations, new product or corridor launches, and ongoing optimization initiatives.
Required QualificationsStrong analytical background in Economics, Finance, Mathematics, Statistics, Engineering, or a related field.Proven experience building economic or financial models, including pricing, unit economics, or margin analysis.Advanced English proficiency.Advanced Excel and strong SQL skills.Experience working with large, incomplete, or fragmented datasets.Ability to clearly communicate complex analyses to non-technical audiences.
Nice to HaveExperience with Python, R, or other data analysis languages.Knowledge of data engineering, BI tools, or system design concepts.Experience in financial services, payments, FX, fintech, or marketplace business models.
Benefits: Life insurance, partial medical insurance, tuition assistance, and professional growth opportunities.