Responsibilities
- Analyze card performance, customer behavior, transaction trends, and unit economics to identify opportunities to improve growth, engagement, and profitability
- Develop and measure A/B tests across product changes, marketing campaigns, rewards programs, and promotional initiatives to quantify impact and optimize outcomes
- Build dashboards and reporting frameworks using tools such as Sigma, Retool, or similar BI tools to improve visibility into key business metrics
- Define and track core card KPIs including activation, spend, retention, interchange revenue, rewards utilization, and customer lifetime value
- Partner with Product, Engineering, Marketing, Finance, and Operations to translate business questions into structured analyses and measurable outcomes
- Build financial models and business cases for new card features, rewards programs, merchant partnerships, and pricing or incentive strategies
- Develop executive-ready presentations that synthesize complex analysis into clear insights and recommendations for leadership decision-making
- Identify opportunities to improve card economics through data-driven insights, including spend optimization, rewards strategy, and merchant/gift card performance
- Work with engineering and data teams to improve data infrastructure, reporting automation, and metric definitions across the card business
- Support development and optimization of promotional calendars, rewards programs, and merchant partnerships based on performance data and experimentation results
- Roll up your sleeves to execute deep-dive analyses, clean datasets, and support ad hoc strategic requests across the business
Requirements
- 2–6 years of experience in investment banking, private equity, hedge funds, strategy consulting, corporate strategy, strategic finance, fintech, or a highly analytical environment
- Strong quantitative and analytical skills with experience solving complex, ambiguous business problems using data
- Experience building financial models, business cases, forecasting models, or investment-style analyses
- Strong understanding of unit economics, business KPIs, and performance measurement frameworks
- Experience working with large datasets and BI tools such as Sigma, Retool, Tableau, Looker, or similar platforms
- Advanced Excel skills with ability to build detailed, structured quantitative models
- Experience partnering with Product, Engineering, or Data teams to define metrics and evaluate experiments
- Strong communication skills with ability to translate complex analysis into clear, actionable recommendations
- High ownership mindset with comfort operating in fast-paced, ambiguous startup environments
- Bachelor’s degree in Finance, Economics, Engineering, Mathematics, Statistics, or a related quantitative field
Benefits
- Equity
- Competitive Salary
- Health Care - comprehensive health, vision, and dental insurance options
- Retirement Benefits - generous employer 401K match
Work Arrangement
Hybrid
Additional Information
- Nitra maintains a hybrid work policy, with team members working from the office four days per week and Wednesdays designated as a work-from-home day
