Operations Data Analyst

Remote - United States Only

Pay: $61,000–97,000/year · Base — pay source
COMPENSATION: The base salary range for this role is $61,000 to $97,000 annually, based on market data and internal compensation practices. Final compensation will be determined by factors such as location, experience, and skill level. SPLASHERS ENJOY:
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Work setting: RemoteLocation limits apply — work setting source
Listed location: Remote - United States Only
Read the full posting
Employment: Not stated

What you’ll work on

Splash Financial is seeking an Operations Data Analyst who loves using data to solve problems and drive real business impact.

Delivering data-driven insights that inform strategy and decision-making.

Analyze servicing, collections, application funnel and contact-center performance
Build and maintain automated reports and data files for lending partners, investors and vendors
Maintain and extend data models in Snowflake and dbt and support Operations dashboards
Reconcile internal numbers against partner figures and audit existing models
Build the analysis behind business cases and recommendations to leadership

From the employer’s posting

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.

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

Maintain and extend data models in Snowflake and dbt, and support the dashboards Operations leaders use to run their teams.

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.

Education & alternatives

- Experience working with AI/ML tools or implementing AI-driven solutions. - Bachelor's degree in Data Analytics, Statistics, Economics, Business, or a related field (or equivalent experience). NICE TO HAVE:

- Experience with Salesforce Service Cloud. - Master's degree in a related field. WHAT MAKES YOU STANDOUT:

About 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.

In the employer’s words · Read in context

Apply at Splash Financial

Posting record

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Status in our records: Live
First seen by us: Oct 18, 202617 days ago
Recorded sightings: 20
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$61K–$97K against $94.7K–$144K, the middle half of what similar US postings state.

From 1,811 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 17

Similar jobs usually come down between day 5 and day 41.

From 10,748 similar postings that came down. Coming down is not always a hire.

Splash Financial is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
dbt
Power BI
Sigma
Snowflake
Tableau

Where the posting names them

- Experience in fintech, financial services, or a high-growth environment. - Familiarity with Python or another programming language for data analysis. - Experience with Salesforce Service Cloud.

- 1-3+ years of experience in a Data Analyst or Business Analyst role. - Strong SQL skills and experience building and maintaining data models. - Proficiency with BI tools (e.g., Sigma, Tableau, or Power BI).

- 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, automated request triage). - Partner with data engineering, product, and business teams to scope requests and deliver solutions.

- Strong SQL skills and experience building and maintaining data models. - Proficiency with BI tools (e.g., Sigma, Tableau, or Power BI). - Strong business acumen and the ability to translate data into actionable recommendations.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

ABOUT OUR COMPANY:

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, TruStage 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, automated request triage).
Partner with data engineering, product, and business teams to scope requests and deliver solutions.

WHAT YOU’LL BRING TO SPLASH:

1-3+ years of experience in a Data Analyst or Business Analyst role.
Strong SQL skills and experience building and maintaining data models.
Proficiency with BI tools (e.g., Sigma, Tableau, or Power BI).
Strong business acumen and the ability to translate data into actionable recommendations.
Ability to manage your own workload and deliver projects on time with minimal direction.
Experience working with AI/ML tools or implementing AI-driven solutions.
Bachelor's degree in Data Analytics, Statistics, Economics, Business, or a related field (or equivalent experience).

NICE TO HAVE:

Experience in fintech, financial services, or a high-growth environment.
Familiarity with Python or another programming language for data analysis.
Experience with Salesforce Service Cloud.
Master's degree in a related field.

WHAT MAKES YOU STANDOUT:

Business-Minded: Connects data to business impact, not just analysis.
AI & Analytics Curiosity: Excited to explore LLMs, predictive modeling, and new tools, and quick to put them to work.
Operationally Grounded: Uses data to improve processes and outcomes.
Clear Communicator: Turns data into clear, actionable stories for teams and leaders.
Collaborative: Builds trust and works well across Ops, Product, and other teams.
Ownership: Proactive self-starter who raises concerns early and follows through.
Adaptability: Shifts focus quickly as priorities change while keeping existing work on track.
Member-Centric: Always ties insights back to improving customer experience.

COMPENSATION:

The base salary range for this role is $61,000 to $97,000 annually, based on market data and internal compensation practices. Final compensation will be determined by factors such as location, experience, and skill level.

SPLASHERS ENJOY:

Fully remote work freedom (for most roles)
Competitive salary packages
Flexible PTO + 9 company holidays
Equity: Share in our start-up success
Comprehensive and affordable insurance benefits
Paid parental leave for both caregivers
Essential modern equipment to get the job done
Fully paid Claude subscription to supercharge your work
401(k) for your future savings
Quarterly meet-ups: In person & virtual fun
Awesome Splash swag to flaunt your team spirit

Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.

JOB OFFER & RECRUITMENT SCAM NOTICE

At Splash Financial, we want candidates to feel confident and safe throughout the hiring process. Unfortunately, scammers sometimes pose as employers to trick job seekers into sharing personal information or money.

PLEASE BE AWARE:

Splash Financial will never ask for payment, banking details, or cryptocurrency as part of our hiring process.
All legitimate job communications from Splash Financial will come from an @splashfinancial.com email address.
We do not conduct interviews solely via text message or chat apps.
Any offer of employment will be made only after a formal interview process and will be sent directly from Splash Financial.

IF YOU RECEIVE A SUSPICIOUS MESSAGE:

Do not respond or share personal information.
Do not click on unknown links or download attachments.
Report the message to careers@splashfinancial.com

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