Senior Manager, Data Strategy & Analytics

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’s end-to-end loan origination and participation programs provide partners with turnkey access to high-performing assets, underpinned by disciplined credit expertise and robust risk management. Together with its lending partners, Happy Money has originated more than $6.5 billion in loans to help nearly 350,000 people take greater control of their financial futures.

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

This is a high-impact position where you'll collaborate with stakeholders at all levels, balancing deep technical work with clear communication to non-technical audiences. You'll set the agenda for how we use data to manage risk, optimize performance, and better serve our customers — not just respond to requests. You're expected to spot what needs to be built before anyone asks, propose the approach, and ship it.

• Write efficient, well-documented SQL queries in Snowflake to extract, transform, and analyze large datasets
• 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 — you decide which metrics earn the space and which don't
• Partner with Data Engineering to build and refine data workflows in Databricks that support reporting and analytics needs
• Own ad hoc analyses to answer strategic business questions, delivering findings with a clear point of view and recommended action — not a menu of options
• Monitor data quality and proactively identify anomalies before stakeholders notice them
• Decide which analytical methodologies we use and when to retire them — continuously evaluating opportunities to optimize processes and introduce improved approaches that enhance efficiency and scalability
• Operate remote-first and async by default — manage your own time, block focus hours, and pull people in when you need them rather than waiting to be pulled in

ABOUT YOU

You don't wait for a well-scoped ticket — you spot the question worth answering and go answer it. You excel at transforming complex data into meaningful business insights. You combine technical expertise with the ability to communicate in writing without needing a meeting to explain yourself, and collaborate effectively across functions to deliver high-quality work. You bring intellectual curiosity to every project and hold yourself to a higher accuracy bar than anyone else would.