Happy Money - Senior Manager, Data Strategy & Analytics

• 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 • 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 set for you. • 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 • A track record of working autonomously in a remote environment — you know how to stay unblocked without real-time access to your team • Excellent written communication skills with the ability to distill complex analyses into clear narratives for diverse audiences • Comfort making judgment calls with incomplete information and defending them with data in a fast-paced environment where priorities shift