Operations Data Analyst

Splash Financial•Only, TN

8h•$61,000 - $97,000•Remote

About The Position

Splash Financial is seeking an Operations Data Analyst to use data to solve problems and drive business impact. The role supports performance improvement across teams by delivering insights for strategy and decision-making, using AI tools to streamline processes, and developing analyses for business cases that support growth and operational excellence. The ideal candidate is analytical, collaborative, and interested in connecting data to real-world outcomes and improving how work gets done. The analyst will work with servicing and collections performance, application funnels, and contact-center metrics. They will build and maintain reporting and data files for lending partners, investors, and vendors; maintain data models and operational dashboards; help ensure consistent metric definitions and reconcile figures with partners; and analyze performance gaps to inform recommendations. The role collaborates with data engineering, product, and business teams and applies AI tools to analytics work. Splash Financial is a remote-first company. The role offers a base salary range of $61,000 to $97,000 annually, with final compensation based on factors including location, experience, and skill level.

Requirements

At least 3 years of experience in a Data Analyst or Business Analyst role.
Strong SQL skills and experience building and maintaining data models.
Proficiency with business intelligence tools such as Sigma, Tableau, or Power BI.
Strong business acumen and ability to translate data into actionable recommendations.
Ability to manage 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 Haves

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.

Responsibilities

Analyze servicing and collections performance, application funnels, and contact-center metrics.
Build and maintain automated reports and data files for lending partners, investors, and vendors, mapping partner requirements to company data and delivering on time with the manager.
Maintain and extend data models in Snowflake and dbt, and support dashboards used by Operations leaders.
Apply consistent key metric definitions, help audit existing models, and reconcile company figures against partner figures.
Identify performance gaps, test hypotheses with data, and develop analyses for business cases and recommendations to leadership.
Apply 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 solutions.