The future is already here.
It's just not evenly distributed yet.

About Argyle

Argyle is a fast-growing, remote-first Series C startup solving a systemic data problem.

Underneath the consumer finance industry’s decisions and processes is static, analog documentation—things like credit reports and paystubs—designed decades ago for a world that no longer exists. Meanwhile, credit bureaus buy, move, store, and sell consumers’ data without their knowledge or consent.

The result? A labyrinth of manual workflows and shortsighted underwriting models that obstruct financial access, compound operational costs, and impede innovation.

The solution is Argyle. We’re a real-time income data platform that lets our end-users instantly connect their employment records to apps and websites, so they can access and qualify for the financial resources they need to get ahead. Providers benefit from streamlined workflows and enhanced visibility that reduce costs and risk across the user journey.

Our mission is to give consumers the means to exercise ownership over their income, employment, and identity data in order to create a more equal, efficient, and effective financial system for everybody.

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 to do with client data experience and data platform integration performance
• Communicate your insights to the organization 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 prioritizing recommendations to generate outcomes
• Solid experience weaving business and product data to drive decision making
• Excellent SQL knowledge (having experience with dbt is an advantage)
• Excellent communication, storytelling, and collaboration skills
• Experience picking the right visualizations 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
• $1000 after a month of employment to set up your home office
• 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.