Operations Data Analyst

Role overview Use operational and customer data to help teams improve lending workflows and business performance. This analyst will investigate patterns across servicing, collections, application funnels, and contact-center activity, then turn the findings into reports, recommendations, and business cases.

Responsibilities - Analyze servicing and collections results, application funnels, and contact-center metrics to identify performance gaps. - Build and maintain automated reports and data files for external partners, mapping their requirements to available data and meeting delivery timelines. - Extend data models in Snowflake and dbt and support dashboards used by operations leaders. - Maintain consistent metric definitions, audit models, and reconcile internal figures with partner data. - Test hypotheses and develop evidence-based recommendations and business cases for leadership. - Use AI tools to streamline analytics work and collaborate with data engineering, product, and business teams on requests.

Requirements - At least 3 years of experience in data or business analysis. - Strong SQL skills and experience developing and maintaining data models. - Proficiency with a business intelligence tool such as Sigma, Tableau, or Power BI. - Ability to connect analysis to business recommendations and communicate findings clearly. - Strong organization and ownership, including managing workload and delivering projects on time. - Curiosity about AI and other analytical tools, with a collaborative and adaptable approach.

Benefits and work setup - Remote-first setup for most roles. - Benefits listed include flexible paid time off, company holidays, insurance, parental leave, equity, retirement savings, work equipment, a paid AI tool subscription, and team meetups. - The listing gives a base salary range of $61,000–$97,000 annually.