Senior Manager, Data Strategy & Analytics

Role overview

This Senior Manager, Data Strategy & Analytics position partners with leaders across Credit, Operations, Marketing, Product, and Finance to turn complex data into decisions that matter. The role sits within a Risk/Credit team at a consumer finance organization whose mission centers on helping people build healthier financial lives through transparent personal lending. Day-to-day work blends large-scale data exploration, dashboard development, and analytical modeling within a modern cloud-based stack.

Responsibilities

- Build and automate analytical workflows in Python and/or R, keeping code organized and reviewable through GitHub - Design, ship, and maintain Tableau dashboards and reports that surface business metrics across Credit, Operations, Marketing, and Finance - Collaborate with Data Engineering to shape and refine Databricks dataflows that power reporting and analytics - Run ad hoc analyses on strategic questions and present findings with clear recommendations to leadership audiences - Watch data quality closely and flag anomalies or inconsistencies in key metrics before they cause downstream issues - Document analytical methods and continuously look for ways to streamline, scale, and improve analytics processes

Requirements

- 7+ years in business intelligence, data analytics, or a closely related field, ideally within financial services or FinTech - Strong SQL skills, including hands-on experience querying cloud data warehouses such as Snowflake - Proficiency with Tableau or comparable visualization tools, supported by a portfolio of dashboards built for business users - Working knowledge of Python and/or R for data manipulation, analysis, and automation - Familiarity with Databricks, Spark, or similar distributed computing platforms - Experience using Git and GitHub for version control and collaborative development - Clear communication skills, with the ability to translate complex analyses into narratives for varied audiences - Comfort working in a fast-paced setting where priorities shift and ambiguity is common

Nice to have

- Background in consumer lending, credit risk modeling, or the personal loan industry - Familiarity with dbt or modern analytics engineering practices - Exposure to machine learning concepts or predictive modeling techniques - Understanding of financial-services regulatory requirements such as fair lending or FCRA - Experience presenting insights and recommendations to executive leadership

Benefits and work setup

- Medical, dental, and vision insurance options - Annual bonus eligibility - 401(k) plan with employer matching contribution - Generous PTO including sick leave, vacation, volunteer time, and more - 12 weeks of paid parental leave - Company-paid short- and long-term disability and life insurance - Monthly tech stipend for remote work expenses - 100% fully distributed remote workforce - Base salary range: $145,000–$160,000 USD