Overview
A Senior Financial Analyst role is available for a business-minded, data-driven professional skilled in translating large and complex data sets into actionable insights. This position focuses on analyzing payment acceptance rates, chargebacks, and other performance metrics to develop strategies that drive business growth. The role involves close collaboration with the development team to implement changes to the internal e-commerce platform supporting payment strategies, as well as designing reporting tools to monitor and optimize e-commerce operations.
Responsibilities
- Analyze large datasets to identify patterns in payment processing success, chargebacks, and fraud rates
- Monitor and forecast payment-related metrics such as acceptance rate and fraud rate
- Predict customer behaviors through data analysis and modeling
- Understand key drivers of company KPIs including conversion rate, lifetime value of a customer, chargeback rate, and fraud rate
- Develop financial and statistical models to assess the contribution of these drivers to business performance
- Track payment acceptance rates and performance trends to recommend adjustments to payment processor allocation strategies
- Review transaction and chargeback data across various card brands, processors, and gateways to identify anomalies and recommend solutions
- Propose improvements to operations, anti-fraud processes, and system enhancements
Requirements
- Degree in Finance, Economics, Statistics, or a related field
- 4 to 6 years of progressive experience in corporate finance, statistics, or a highly analytical finance role
- Ability to collaborate across teams including Finance, Platform, Customer Support, Product, and Marketing
- Extensive experience building complex financial models and conducting quantitative and qualitative financial and scenario analyses
- Strong written, verbal, and presentation communication skills
- Experience presenting analysis to senior executives and acting as a business partner across departments
- Ability to thrive in a complex, fast-paced environment
- Advanced proficiency in Excel, Pivot Tables, and PowerPoint
- Strong analytical, quantitative, and problem-solving skills
Preferred Qualifications
- MBA or Master’s degree in quantitative fields such as Economics, Statistics, or Business Analytics
- Experience with data visualization tools such as SiSense or Tableau
- Previous experience in Payments is a plus
Compensation & Benefits
- Competitive salary range: $110,000 to $130,000 USD
- Bi-annual bonus
- 401(k) plan with company match
- Equity in the company
- Flexible spending accounts for health and dependent care
- Internet and home office reimbursement
Health Benefits
- Medical, dental, and vision insurance with optional family plans
- Life and long-term disability insurance (optional)
- Mental health support and resources
- Wellness reimbursement (gym memberships, health apps, etc.)
- Optional pet insurance
Time Off
- Flexible paid time off (PTO)
- Sick time policy
- Observed holidays
Location
This is a 100% remote, work-from-home position.
Eligible full-time residents must be located in one of the following U.S. states or territories: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Puerto Rico, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, and Wisconsin.
Additional Information
Individual pay is based on location, transferable skills, experience, and other relevant factors. This position may also be eligible for bonus and benefits subject to applicable plan terms.
The employer is an Equal Opportunity Employer and considers qualified applicants without regard to race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Qualified applicants with arrest and conviction records will be considered in accordance with applicable fair chance laws.