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Salary: USD 61,000 - 97,000 / annual
Splash Financial is a fintech marketplace that has refinanced $6+ billion in loans since 2013, helping people manage student loans, credit card debt, and other forms of debt. The company is remote-first and operates with a startup mentality despite being over a decade old.
As an Operations Data Analyst, you will deliver data-driven insights to improve performance across multiple teams. Your responsibilities include:
• Analyze servicing, collections performance, application funnels, and contact-center metrics to identify trends and opportunities.
• Build and maintain automated reports and data files for lending partners, investors, and vendors, ensuring timely delivery and accuracy.
• Maintain and extend data models in Snowflake and dbt, supporting the dashboards that Operations leaders use to manage their teams.
• Apply consistent key metrics definitions, audit existing models, and reconcile internal numbers against partner figures.
• Identify performance gaps, test hypotheses with data, and build analysis behind business cases and recommendations to leadership.
• Leverage AI tools to streamline analytics work, such as AI-assisted dbt development and automated request triage.
• Partner with data engineering, product, and business teams to scope requests and deliver analytical solutions.
You will work in a collaborative, fast-paced environment where you connect data to real-world business outcomes and help improve both operational efficiency and customer experience.
REQUIREMENTS:
• 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 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
