Revenue & Data Analyst (OMNI BI Analyst)

Aviso de fuente externaen Staffing Solutions Group

Revenue & Data Analyst (OMNI BI Analyst) role supporting economic analysis, data mining, pricing systems, and revenue strategy.

Fuente externa - sin verificarhace 5 semanasVigente hasta: 25 nov 2026

Salario

No especificado

Ubicación

La Libertad, El Salvador

Tipo de empleo

Tiempo completo

Modalidad

No especificado

Revenue & Data Analyst (OMNI BI Analyst)

La Libertad, El Salvador

Descripción del empleo

About the role

Staffing Solutions Group is 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.

The role sits at the intersection of revenue strategy, data science, and systems thinking, working closely with Revenue, Trading, Product, and Technology teams.

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.
  • 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.

Requirements

  • Strong 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 have: Experience 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.

How to apply

Apply directly on CazVid.

Datos clave

  • The role supports complex economic analysis, data mining, and the early design of analytical and pricing systems.
  • Requirements include advanced English proficiency, advanced Excel, and strong SQL skills.
  • Benefits include life insurance, partial medical insurance, tuition assistance, and professional growth opportunities.

Preguntas frecuentes

  • What does the role involve?

    It supports complex economic analysis, data mining, and the early design of analytical and pricing systems. Responsibilities include economic modeling, data analysis, and translating findings into executive-level insights.

  • What qualifications are required?

    The role requires a strong analytical background, proven experience building economic or financial models, advanced English proficiency, advanced Excel, and strong SQL skills.

  • What benefits are offered?

    Benefits include life insurance, partial medical insurance, tuition assistance, and professional growth opportunities.

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