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indeed

Operations Data Analyst

Splash Financial
Chicago, USA
Onsite
USD 61000-97000 yearly
Discovered 1 weeks ago
SQLData modelingBusiness intelligence tools (Sigma, Tableau, or Power BI)SnowflakedbtAI/ML tools or AI-driven solutions

Full Job Posting

About Splash Financial

Splash Financial provides a marketplace and automated loan-processing technology for refinancing student loans and other forms of debt.

The company describes itself as remote-first; its collections team works in person at an Arizona location.

Workplace

  • Splash Financial is remote-first, except that the collections team works in person at its Arizona location.

Role overview

The Operations Data Analyst uses data to solve problems, improve performance across teams, and inform strategy and decisions.

The role applies AI tools, develops business-case analysis, and supports growth and operational excellence.

Responsibilities

  • Analyze servicing, collections, application-funnel, and contact-center performance.
  • Build automated reports and data files for lending partners, investors, and vendors.
  • Maintain Snowflake and dbt data models and support dashboards for operations leaders.
  • Standardize metric definitions, audit models, and reconcile results with partner figures.
  • Identify performance gaps, test hypotheses, and develop business cases and recommendations.
  • Use AI tools to streamline analytics work and partner across data engineering, product, and business teams.

Required qualifications

  • At least 3 years of Data Analyst or Business Analyst experience.
  • Strong SQL and experience building and maintaining data models.
  • Proficiency with a BI tool such as Sigma, Tableau, or Power BI.
  • Business acumen and ability to turn data into actionable recommendations.
  • Able to manage workload and deliver on time with minimal direction.
  • Experience with AI/ML tools or implementation of AI-driven solutions.
  • Bachelor's degree in a related field or equivalent experience.

Preferred qualifications

  • Fintech, financial services, or high-growth-company experience is a plus.
  • Python or another programming language for data analysis is a plus.
  • Salesforce Service Cloud experience is a plus.
  • A related master's degree is a plus.

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