FP&A Data Analyst

ARQ is a financial services platform that lets users in Latin America hold global currencies, make cross-border payments, invest in international markets, and spend worldwide with a card.

Recently funded
Darwin 74, Interior 301, Colonia Anzures, Alcaldía Miguel Hidalgo, C.P. 11590, Ciudad de México, Mexico

Funding history

About ARQ ( Prev DolarApp )

ARQ serves travelers, investors, and professionals across Latin America who need access to global currencies and financial markets. Users can hold digital dollars and euros, receive and send international payments via dedicated US and European account details, invest in US stocks and ETFs, and spend globally with a card at market conversion rates. The platform is available across Mexico, Argentina, Colombia, and Brazil.

View jobs by ARQ ( Prev DolarApp )

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own and improve the finance data layer, develop revenue and cost models, support management accounts, and reconcile reporting data. You will maintain Python reporting services, document data logic, build dashboards, investigate anomalies, and help colleagues self-serve finance data.

Requirements

  • 3+ years of experience in data, analytics, or FP&A
  • SQL
  • Python
  • dbt or similar transformation tools
  • Git
  • Financial statements
  • Management accounts
  • Accrual accounting
  • Revenue recognition
  • Unit economics
  • Quantitative analysis
  • Communication

Responsibilities

  • Maintain and extend dbt finance models and tests
  • Build revenue, unit-economics, and operating-cost models
  • Support daily and monthly management accounts and reconciliations
  • Feed actuals into budgets and forecasts and perform variance analysis
  • Maintain Python reporting and reconciliation services
  • Map data sources and document business logic
  • Integrate new products, partners, and markets into financial reporting
  • Build finance dashboards and reporting
  • Identify and resolve data-quality issues
  • Improve finance-data literacy and self-service

Benefits

  • Stock options
  • Discretionary performance bonus
  • Paid annual leave