Platform Analytics Engineer
ARQ (formerly DolarApp) is a modern finance app that gives travelers, investors, and professionals access to global assets and currencies. It offers digital dollars and euros at real market rates, a borderless cashback card, international payments, and investment access to stocks and ETFs.
Funding
Projects
About ARQ
ARQ, rebranded from DolarApp, is a fintech platform aimed at making global finance accessible to travelers, investors, and professionals, primarily serving users in Mexico and Latin America. Its core offerings include converting local currency into digital dollars (USDc) and digital euros (EURc) at real market exchange rates without hidden fees, a global card offering competitive conversion rates and cashback for spending at home or abroad, and the ability to receive and send international payments (from the US and Europe) using personal account details instead of traditional remittance services. The platform also provides earnings accounts and access to leading global stocks and ETFs so users can invest and grow their wealth across markets. ARQ states it serves over 2 million people worldwide who manage their finances through the app, with app store ratings of 4.7/5 and 4.6/5.
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