Happy Money Logo

Happy Money

Senior Manager, Data Strategy & Analytics

Posted 19 Days Ago
Remote
Hiring Remotely in USA
145K-160K Annually
Senior level
Remote
Hiring Remotely in USA
145K-160K Annually
Senior level
Leads data strategy and analytics for the Risk/Credit team, translating complex datasets into insights for Credit, Operations, Marketing, Product, and Finance. Responsibilities include automating Python/R workflows, building Tableau dashboards, partnering with Data Engineering on Databricks workflows, conducting strategic analyses, monitoring data quality, presenting recommendations to leadership, and documenting analytical methodologies. The role requires strong SQL, cloud data warehouse, visualization, analytics programming, distributed computing, and version-control expertise.
The summary above was generated by AI
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. Learn more at happymoney.com. View our Employee Privacy Policy here. 
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. To learn more about our values and the way we work, review our Happy Money Way Overview!


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

BENEFITS & PERKS
  • 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
  • Happy Money is a 100% fully distributed workforce
Base Salary Range
$145,000$160,000 USD

Similar Jobs

An Hour Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate coverages, and convert prospects into policyholders. The role includes paid Property and Casualty licensing training, customer communication, sales closing, and brand representation. Employees work remotely on assigned schedules and must maintain a professional home workspace with reliable wired high-speed internet. A minimum of two years of sales or service-related experience is required.
Top Skills: High-Speed Wired InternetPcProperty And Casualty Insurance License
An Hour Ago
In-Office or Remote
99K-135K Annually
Senior level
99K-135K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Support export compliance for unmanned aerial systems: draft, submit, and manage ITAR/EAR licenses and commodity jurisdiction requests; classify technical data; manage license lifecycle and documentation; coordinate with stakeholders and provide licensing guidance as an empowered official.
Top Skills: ExcelMicrosoft TeamsOcr EaseSharepoint
2 Hours Ago
Remote or Hybrid
Chatsworth Lake Manor, CA, USA
37K-66K Hourly
Senior level
37K-66K Hourly
Senior level
Fintech • Financial Services
Build and manage relationships with affluent consumer and business customers, acquire and deepen a book of business, and provide integrated guidance across deposits, lending, investments, and banking products. Conduct discovery-based conversations, make referrals, support digital adoption, collaborate with Wealth, Home Lending, and Business Banking partners, coach branch colleagues, and maintain strong risk, documentation, licensing, and compliance standards.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account