Platform Analytics Engineer
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.
Funding
Projects
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.
Skills
About the Role
You'll dive into data to understand user behavior, performance trends, and key metrics, uncovering what's driving change across the business. You'll spot unusual patterns and spikes and help the team get to the root cause. You'll build and maintain dashboards and automated reports so data stays accessible and reliable, and you'll translate your findings into clear recommendations for product and operational improvements. You'll help define and refine the KPIs that matter most, keep your analyses and methodologies well-documented, and contribute to basic modeling tasks and structured experiments under guidance from senior analysts and data scientists. Along the way you'll keep growing your analytical toolkit and product sense through real-world problem solving and mentorship.
Requirements
- 2-5 years of experience in analytics, data, or operations (internships count)
- Strong SQL skills for querying and exploring datasets
- Comfortable reading code and writing basic Python scripts for data manipulation, automation, and analysis
- Experience contributing to a shared analytics codebase or modern data stack (e.g., Snowflake/BigQuery + dbt + Git workflow)
- Analytical curiosity and a structured approach to problem solving
- Good communication skills
- Initiative to automate repetitive tasks and improve reporting workflows
- Interest in fintech, data-driven decision-making, and machine learning concepts
- STEM degree preferred (e.g., Mathematics, Computer Science, Engineering, Physics, Economics, or related fields)
- Experience with BI or visualization tools (Metabase, Looker, etc.)
- Familiarity with dbt for building and maintaining data models, writing tests, and managing transformations
- Exposure to fraud, financial, or product analytics
- Spanish/Portuguese proficiency for internal and external communications
Responsibilities
- Explore and analyze data to investigate user behavior, performance trends, and key metrics
- Identify anomalies and opportunities by spotting unusual patterns or spikes
- Build and maintain dashboards and automated reports
- Translate analytical findings into clear recommendations for product and operational improvements
- Help define and refine KPIs
- Document analyses, methodologies, and assumptions
- Contribute to modeling tasks and structured experiments
- Expand analytical toolkit and product sense through continuous learning
Benefits
- Stock options
- Discretionary performance bonus
- The latest tools and technology