Operations Data Analyst

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.

• 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.

• 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.

• 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.