Splash Financial

Splash Financial

Operations Data Analyst

Remote - United States Only · Mid

Sponsorship not specified$61k-$97kDetected 3 days ago
PythonSQLSnowflakeMachine LearningdbtData AnalysisData EngineeringData VisualizationLLMsStatisticsSalesforceCommunicationAdaptability

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 273 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You'll help improve performance across multiple teams by:
  • Delivering data-driven insights that inform strategy and decision-making.

Responsibilities

  • 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.
  • Partner with data engineering, product, and business teams to scope requests and deliver solutions.
  • Strong SQL skills and experience building and maintaining data models.
  • Ability to manage your own workload and deliver projects on time with minimal direction.
  • 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:
  • Building the analysis behind business cases that support growth and operational excellence.
  • Right now, we're focused on building financial technologies that fundamentally transform how the industry lends.

Requirements

  • 1-3+ years of experience in a Data Analyst or Business Analyst role.
  • Proficiency with BI tools (e.g., Sigma, Tableau, or Power BI).
  • Strong business acumen and the ability to translate data into actionable recommendations.
  • 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.
  • 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.

Skills

  • Using AI tools to streamline processes and improve efficiency.
  • Apply AI tools to streamline analytics work (e.g., AI-assisted dbt development, automated request triage).
  • Experience working with AI/ML tools or implementing AI-driven solutions.

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.
  • Competitive salary packages

Benefits

  • great health insurance, competitive salaries, and unique benefits like quarterly meet-ups and access to engagement tools that keep us connected - even from afar.

Company info

  • 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..
  • 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.
  • 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:

Equal opportunity

  • Splash is an equal opportunity employer.
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This listing is sourced directly from Splash Financial's careers page and normalized into a canonical job model.