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Argyle

Senior Data Analyst

Posted 21 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in Brazil
70K-100K Annually
Mid level
Remote
Hiring Remotely in Brazil
70K-100K Annually
Mid level
The Senior Data Analyst will analyze search performance data, design A/B tests, collaborate on the product roadmap, and utilize tools like dbt and Looker to create dashboards and insights.
The summary above was generated by AI

Location: Remote

Compensation: $70,000 - $85,000 per year, depending on experience and seniority + equity


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 You’ll Do
  • Analyze search performance data to define key metrics and uncover opportunities to improve conversion rates and overall UX
  • Design and evaluate A/B tests to assess search algorithm and UX changes
  • Collaborate with cross-functional teams to shape the product roadmap using data-driven insights
  • Communicate your insights to the organization across various channels
  • Leverage dbt, Looker, and other tools to extract, prepare, and analyze data, and build intuitive dashboards
  • Drive and support self-service analytics initiatives to empower other colleagues
  • Work across multiple business domains, broadening your expertise and exposure to different challenges
What We’re Looking For
  • 4+ years of full-time working experience in quantitative analysis roles
  • Excellent SQL skills; experience with dbt is a plus
  • Experience with search performance metrics (e.g., relevance, ranking quality, click-through rates) is a strong plus
  • Proficient in designing, running, and analyzing A/B tests to inform product decisions
  • Proven ability to lead analytical projects and prioritize recommendations that deliver impact
  • Skilled at synthesizing complex data into clear, actionable insights for both technical and non-technical audiences
  • Strong collaboration and communication skills; comfortable working cross-functionally
  • Proficiency with data visualization tools (e.g., Looker, Tableau, Power BI) and choosing effective visualizations
  • Ability to navigate ambiguity and work independently in a fast-paced environment
Why Argyle
  • Remote-first, internationally distributed team
  • Competitive compensation and equity
  • Opportunity to work on core fintech infrastructure
  • Smart, kind, ambitious teammates who care deeply about building things well
  • High-bar, low-ego culture focused on building things well


At Argyle, we’re committed to building an inclusive team and creating equal opportunities for everyone. We believe diverse backgrounds and perspectives lead to better ideas, stronger collaboration, and a better company overall. Sounds like a place you'd thrive? Apply today.


#LI-DNI

Top Skills

Dbt
Looker
Power BI
SQL
Tableau

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