Opportunity at
Happy MoneySenior Manager, Data Strategy & Analytics
Happy Money, a consumer finance enterprise offering transparent personal loans through digital platforms and trusted institutional partners, seeks a Senior Manager, Data Strategy & Analytics for…
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About This Role
Happy Money, a consumer finance enterprise offering transparent personal loans through digital platforms and trusted institutional partners, seeks a Senior Manager, Data Strategy & Analytics for its Risk and Credit division. Operating as a fully distributed remote workforce, the organization relies on its Hive lending platform to help individuals manage their financial futures while assisting banks and credit unions in scaling responsibly. In this position, the professional functions as a…
Job Description
Happy Money, a consumer finance enterprise offering transparent personal loans through digital platforms and trusted institutional partners, seeks a Senior Manager, Data Strategy & Analytics for its Risk and Credit division. Operating as a fully distributed remote workforce, the organization relies on its Hive lending platform to help individuals manage their financial futures while assisting banks and credit unions in scaling responsibly.
In this position, the professional functions as a strategic analytics partner across multiple departments, including Finance, Marketing, Operations, Product, and Credit. The incumbent handles large information sets within modern cloud environments to construct dashboards, formulate analytical models, and discover critical trends. Ideal candidates possess extensive experience in data analytics or business intelligence, combined with robust technical proficiencies in cloud warehousing, version control, and data visualization tools.
This opportunity fits analytical experts who thrive in fast-moving settings and excel at converting intricate figures into clear, actionable business guidance for organizational leadership. The base salary offering ranges from $145,000 to $160,000 per year, accompanied by comprehensive health coverage, retirement matching, paid time off, parental leave, and additional perks.
Responsibilities
- Build and automate analytical procedures via Python or R, maintaining source code through GitHub
- Design and support Tableau reports and dashboards to track key performance metrics across multiple departments
- Collaborate with Data Engineering to refine Databricks data workflows supporting analytics and reporting functions
- Perform ad hoc evaluations to address strategic business inquiries and deliver clear recommendations to management
- Track data quality and spot anomalies or metric issues proactively
- Establish and record analytical procedures to optimize scalability and operational efficiency
Requirements
- Seven or more years of professional background in data analytics, business intelligence, or a related sector
- Advanced SQL proficiencies for querying cloud data platforms like Snowflake
- Demonstrated expertise with Tableau or comparable visualization software
- Working familiarity with Python or R for data analysis and automation
- Experience utilizing Spark, Databricks, or similar distributed computing architectures
- Background in collaborative development and version control using Git and GitHub
- Ability to communicate complex findings clearly to varied audiences in a fast-moving atmosphere
Qualifications
- Background within FinTech, consumer lending, personal loan sectors, or credit risk modeling
- Familiarity with generative artificial intelligence and AI tools to streamline analytics and automation
- Experience using dbt or contemporary analytics engineering methodologies
- Exposure to predictive modeling or machine learning concepts
- Understanding of financial regulations such as FCRA and fair lending
- Previous experience sharing strategic recommendations with executive leadership
Core Skills
Benefits
- Medical, dental, and vision insurance coverage options
- Eligibility for an annual bonus
- Retirement 401(k) plan with company match
- Paid time off covering vacation, sick leave, and volunteer time
- Twelve weeks of paid parental leave
- Employer-paid life insurance and short and long-term disability coverage
- Monthly technology stipend for remote work expenses
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for this position?
The base salary range spans from $145,000 to $160,000 USD per year, and the role is also eligible for an annual bonus.
Is this a remote position?
Yes, Happy Money operates as a 100% fully distributed company with a remote workforce.
How many years of experience are required?
Candidates must have 7 or more years of professional background in data analytics, business intelligence, or a related field, preferably within financial services or FinTech.
What benefits are provided with this job?
Employees receive medical, dental, and vision insurance, a 401(k) plan with matching contributions, generous paid time off, 12 weeks of paid parental leave, company-paid life and disability insurance, and a monthly tech stipend.
Sample Interview Questions
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