Senior Manager, Data Strategy & Analytics - Happy Money

About Happy Money

Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans funded by trusted financial institutions. Through its proprietary lending platform, Hive, Happy Money delivers a fully digital experience that simplifies borrowing for consumers and helps credit unions, banks and asset managers diversify balance sheets and scale with confidence.

Happy Money is a 100% fully distributed company. Remote work doesn’t mean less work, we work full-time jobs and show up to them fully every day.

About the Role

Happy Money is looking for a Senior Manager, Data Strategy & Analytics to join our Risk/Credit team. In this role, you'll serve as a strategic analytics partner across the organization, translating complex data into actionable insights that drive decision-making across Credit, Operations, Marketing, Product, and Finance. You'll work with large datasets in a modern cloud-based environment, building dashboards, developing analytical models, and uncovering trends that help us deliver on our mission of helping people achieve financial wellness through responsible personal lending.

Responsibilities

• Develop and automate analytical workflows using Python and/or R, with code managed through GitHub
• Design, build, and maintain dashboards and reports in Tableau that provide visibility into key business metrics across Credit, Operations, Marketing, and Finance
• Partner with Data Engineering to build and refine data work flows in Databricks that support reporting and analytics needs
• Conduct ad hoc analyses to answer strategic business questions, presenting findings with clear recommendations to leadership
• Monitor data quality and proactively identify anomalies or issues in key metrics
• Develop and document analytical methodologies, continuously evaluating opportunities to optimize processes and introduce improved approaches that enhance efficiency and scalability

About You

You are an analytical professional who excels at transforming complex data into meaningful business insights. You combine technical expertise with strong communication skills and collaborate effectively across functions to deliver high-quality work. You bring intellectual curiosity to every project and maintain a commitment to accuracy and precision in your analyses.

• 7+ years of experience in business intelligence, data analytics, or a related field, preferably within financial services or FinTech
• Strong SQL skills with experience querying cloud data warehouses such as Snowflake
• Proficiency in Tableau or similar visualization tools, with a portfolio of dashboards you've designed 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/GitHub for version control and collaborative development
• Excellent communication skills with the ability to distill complex analyses into clear narratives for diverse audiences
• Comfort operating in a fast-paced environment where priorities shift and ambiguity is common

Bonus Points For

• Experience in consumer lending, credit risk modeling, or the personal loan industry
• Passion for leveraging AI tools and generative AI to enhance analytics workflows, automate processes, or accelerate insight generation
• Familiarity with dbt or modern analytics engineering practices
• Exposure to machine learning concepts or predictive modeling techniques
• Knowledge of regulatory requirements in financial services (e.g., fair lending, FCRA)
• Experience presenting insights and recommendations to executive leadership