Remote opportunity at
SplashOperations Data Analyst
Splash is seeking an Operations Data Analyst to join its remote-first team. Founded in 2013 and headquartered in Cleveland, the company operates a marketplace and automated…
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About This Role
Splash is seeking an Operations Data Analyst to join its remote-first team. Founded in 2013 and headquartered in Cleveland, the company operates a marketplace and automated loan processing technology that helps individuals refinance debt through a network of credit unions and partner banks. In this position, the analyst will utilize data to resolve problems, optimize processes, and guide strategic decisions across multiple departments. This role suits an analytical professional who…
Job Description
Splash is seeking an Operations Data Analyst to join its remote-first team. Founded in 2013 and headquartered in Cleveland, the company operates a marketplace and automated loan processing technology that helps individuals refinance debt through a network of credit unions and partner banks. In this position, the analyst will utilize data to resolve problems, optimize processes, and guide strategic decisions across multiple departments.
This role suits an analytical professional who enjoys connecting data to practical outcomes and is interested in leveraging artificial intelligence tools to boost efficiency. Key duties involve evaluating servicing, application funnel, collections, and contact center metrics, alongside constructing automated reports for investors, partners, and vendors. The individual will also maintain data models in Snowflake and dbt, support leadership dashboards, reconcile figures against partner data, and partner with product, data engineering, and business groups to deliver solutions.
Responsibilities
- Analyze application funnels, contact-center metrics, and servicing and collections performance
- Build and maintain automated reports and data files for vendors, investors, and lending partners
- Maintain and extend data models using Snowflake and dbt
- Support leadership dashboards and apply consistent metric definitions
- Reconcile internal numbers with partner figures and audit existing models
- Formulate business cases and recommendations by testing hypotheses with data
- Implement AI tools to streamline analytics tasks such as request triage and dbt development
- Collaborate with business, product, and data engineering teams to scope and deliver solutions
Requirements
- 3+ years of professional experience as a Business Analyst or Data Analyst
- Strong proficiency in SQL along with experience maintaining and building data models
- Familiarity with business intelligence tools such as Power BI, Tableau, or Sigma
- Strong business acumen and the capacity to turn data into actionable recommendations
- Experience working with machine learning or AI tools, or implementing AI-driven solutions
- Ability to manage workloads independently and meet project deadlines with minimal oversight
Qualifications
- Bachelor’s degree in Economics, Statistics, Data Analytics, Business, or a related field, or equivalent experience
- Master’s degree in a related discipline
- Experience working within financial services, fintech, or high-growth environments
- Familiarity with Python or another programming language dedicated to data analysis
- Prior experience utilizing Salesforce Service Cloud
Core Skills
Benefits
- Competitive salary packages
- Flexible paid time off and nine company holidays
- Equity in the startup
- Comprehensive and affordable insurance coverage
- Paid parental leave for both caregivers
- Essential modern equipment
- Fully paid Claude subscription
- 401(k) retirement savings plan
- In-person and virtual quarterly meet-ups
- Team swag
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, Splash is a remote-first company and offers fully remote work freedom for this role.
What is the salary range for the Operations Data Analyst?
The base annual salary spans from $61,000 to $97,000, determined by factors such as location, skill level, and experience.
What experience is required to apply?
Candidates must have at least three years of experience as a Data Analyst or Business Analyst, strong SQL skills, proficiency in BI tools, and experience working with AI or machine learning tools.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.