Senior Data Analyst
Location: Remote - Brazil
Salary - $70k - $85k + Stock

About Argyle

Argyle is a remote-first, Series C startup solving a consumer data problem.

For decades, financial service providers and other businesses have collected and verified consumer income and employment data the same way: by hand or via verification databases. These methods are expensive, time consuming, high friction, and/or unreliable. In turn, experiences like applying for a loan or completing a background check are challenging for service providers and consumers alike.

The solution is Argyle. We’re the leading provider of direct-source, consumer-permissioned income and employment verifications. We make it fast and easy to gain secure and reliable access to the most complete real-time datasets stored in consumers’ payroll accounts, so service providers can automate verification workflows, save time, reduce risks, lower costs, and build better product experiences.

Named one of America’s Best Startup Employers of 2025 by Forbes, Argyle largely serves the mortgage, personal lending, tenant screening, and background check industries as well as the gig economy. Argyle is also an authorized report supplier for Fannie Mae’s Desktop Underwriter® validation service, a component of Day 1 Certainty®, and Freddie Mac’s Asset and Income Modeler (AIM), part of Loan Product Advisor℠.

Founded in 2018, Argyle completed its Series C funding round in 2024 and has raised over $100 million in capital.

If you’re looking to join a fun and ambitious group of people working remotely across dozens of countries, apply today.

What will you do?

• Partner with product and engineering to dig through data and identify product opportunities
• Support key metrics across the business related to do with client data experience and data platform integration performance
• Communicate your insights to the organisation across various channels
• Use dbt and Looker to pull the needed data, prep it, perform analysis and put together intuitive dashboards
• Identify and support self-service analytics opportunities
• Have an opportunity to journey deeper into the Data Engineering world

What are we looking for?

• 4+ years of full-time working experience in quantitative analysis roles
• Experience driving analytical projects and prioritising recommendations to generate outcomes
• Solid experience weaving business and product data to drive decision making
• Excellent SQL knowledge
• Strong experience with dbt
• Excellent communication, storytelling, and collaboration skills
• Experience picking the right visualisations and working with reporting/data viz tools (e.g. Looker, Tableau, Power BI etc.)
• Manage ambiguity and work independently

Why Argyle?

• Remote-first company
• International environment
• Flexible working hours
• Stock Options
• Flexible vacation leave
• MacBook

At Argyle, we wholeheartedly embrace diversity and foster equal opportunities for all. We are dedicated to assembling a team encompassing a rich tapestry of backgrounds, perspectives, and talents. We firmly believe that the greater our inclusivity, the stronger and more vibrant our company becomes.