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Operations Data Analyst

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Splash Financial, Inc.
Remote/Work from Home position
Listed on 2026-10-21
Job specializations:
  • Business
    Data Analyst, Financial Analyst
  • Finance & Banking
    Financial Analyst
Salary/Wage Range or Industry Benchmark: 61000 - 97000 USD Yearly USD 61000.00 97000.00 YEAR
Job Description & How to Apply Below

The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial.

Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we’ve been able to refinance $6+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology.

And we’ve raised over $135 million from investors like partners of DST Global, Citi Ventures, Tru Stage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners, and more.

But at our core, we’re still that little company from Cleveland with a big dream: to make people more powerful than their debt and we’re just getting started..

ABOUT OUR WORKPLACE:

Splash is remote-first, and proud of it - though our collections team works in-person at our Arizona location.

We spend our days simplifying financial products and getting them into the hands of people who need them most. Right now, we’re focused on building financial technologies that fundamentally transform how the industry lends.

Although Splash has been around since 2013, we still operate like a startup - fast-paced, nimble, and full of heart. We’re good people who care deeply about doing meaningful work and we approach challenges with creativity, passion, and urgency.

And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups and access to engagement tools that keep us connected - even from afar.

At Splash, everything we do is guided by our values:

Own It – We take full accountability and follow through on commitments.

Raise the Bar – We move fast, innovate faster, and push through barriers.

Say the Hard Thing – We speak up with honesty, respect, and a desire to solve problems and make things better.

Elevate Each Other – We win as a team by lifting each other up.

These values show up in how we work and how we connect - whether we’re collaborating on big projects or bonding over everyday moments. Yes, we even have Slack channels for #kids-and-pets and #food because we believe being human makes us better teammates.

ABOUT THE ROLE:

Splash Financial is seeking an Operations Data Analyst who loves using data to solve problems and drive real business impact. You’ll help improve performance across multiple teams by:

  • Delivering data-driven insights that inform strategy and decision-making.
  • Using AI tools to streamline processes and improve efficiency.
  • Building the analysis behind business cases that support growth and operational excellence.

The ideal candidate is highly analytical, eager to connect data to real-world outcomes, enjoys collaborating across teams, and is curious about finding better ways of doing things.

WHAT YOU’LL DO AT SPLASH:
  • Analyze servicing and collections performance along with application funnels and contact-center metrics.
  • Build and maintain automated reports and data files for our lending partners, investors, and vendors, working with your manager to map partner requirements to our data and deliver on time.
  • Maintain and extend data models in Snowflake and dbt, and support the dashboards Operations leaders use to run their teams.
  • Apply consistent key metrics definitions, help audit existing models, and reconcile our numbers against partner figures.
  • Identify performance gaps, test hypotheses with data, and build the analysis behind business cases and recommendations to leadership.
  • Apply AI tools to streamline analytics work (e.g., AI-assisted dbt development,…
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