Senior Manager, Data Strategy & Analytics
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- Generous medical, dental, and vision insurance options
- Eligible for Annual Bonus
- 401k Plan with a matching contribution
- Generous PTO including sick leave, vacation, volunteer, and more
- 12 Weeks Paid Parental Leave
- Company-paid short & long term disability and life insurance
- Monthly tech stipend to help cover expenses for remote work
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
