About this role.
This senior analytics leadership role supports Happy Money's Risk/Credit organization by translating complex data into actionable recommendations for Credit, Operations, Marketing, Product, and Finance. The manager will build Tableau dashboards, automate analytical workflows with Python or R, perform strategic ad hoc analyses, and partner with Data Engineering on Databricks-based data workflows. Success requires strong SQL, cloud data warehouse experience, visualization expertise, version control practices, and the ability to communicate insights clearly to executives and cross-functional stakeholders. Financial-services, consumer-lending, credit-risk, analytics-engineering, and predictive-modeling exposure are preferred differentiators. The position is a remote, full-time US role in a distributed organization.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
4/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Sample interview questions
I would first align on the decisions each audience needs to make, define shared metric definitions and data ownership, and identify where role-specific views are necessary. I would build a governed semantic layer, prioritize actionable KPIs and drill-down paths, validate results with end users, and establish monitoring for freshness and data-quality issues.
I would explain the business problem, source data, transformation logic, validation checks, scheduling approach, and measurable result. A strong example would show how automated extraction, cleaning, analysis, and reporting reduced manual effort while improving consistency and auditability through Git-based version control.
I would verify data freshness, lineage, query logic, and recent pipeline or definition changes before treating the movement as a business signal. I would then segment the metric by relevant dimensions such as cohort, channel, product, geography, and credit attributes, quantify the drivers, and communicate both findings and confidence levels to stakeholders.
I lead with the decision, the most important finding, and the recommended action rather than the methodology. I use simple visuals and plain language, clearly state assumptions and limitations, and retain technical detail in an appendix or follow-up documentation for teams that need it.
I would use a transparent intake and prioritization process based on business impact, urgency, effort, and strategic alignment. I would deliver time-sensitive insights quickly when needed, while identifying recurring requests that should be converted into reusable datasets, automated workflows, or self-service dashboards.
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
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