Staff Operations Data Analyst

Sofi•Cottonwood Heights, UT

36d

About The Position

At SoFi, we're on a mission to help our members achieve financial independence and reach their goals - from owning a home to paying off debt to investing for the future. Our Operations team is at the heart of delivering a world-class member experience. We're looking for a Staff Data Analyst to join our Operations Performance Management team. In this role, you'll turn data into insights and insights into action. You'll help us understand what drives performance, where we can improve, and how we can continue to deliver seamless experiences to our members. This role will report to the leader of Ops Business Intelligence and will work closely with our VP of Operations. This is a highly visible role within SoFi's data science and Business Intelligence community and directly contributes towards key company goals and objectives.

Requirements

Bachelor's degree in Data Science, Statistics, Analytics, Economics, Engineering, or a related field (Master's preferred).
5+ years of experience in data analytics, operations analytics, or business intelligence.
Advanced SQL skills and experience with visualization tools such as Tableau, Looker, or Power BI.
Proven ability to perform root cause and variance analysis in operational settings.
Excellent communication skills - able to simplify complex data and influence non- technical audiences.
Strong business acumen and a passion for improving member experiences through data.

Nice To Haves

Experience in financial services, fintech, or contact center operations.
Familiarity with Python, R, or other analytical tools.
Knowledge of process improvement frameworks (Lean, Six Sigma, etc.)

Responsibilities

Build and maintain agent scorecards, dashboards, reports, and KPIs that measure operational performance and the member experience.
Conduct variance analysis, root cause investigations, and deep-dive studies to identify opportunities for improvement.
Partner with Operations leadership to analyze performance drivers and develop actionable recommendations that enhance efficiency and quality.
Translate data findings into clear insights and stories that influence strategic decisions.
Collaborate with Product, Engineering, Data Science, and other partners to ensure reliable data sources and scalable reporting infrastructure.
Promote a data-driven culture across Operations by empowering teams with tools, training, and analytical best practices.

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