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.
Tech Stack
Tableau
Benefits
Equity
Everyone at Nitra is an owner. When the company wins, you win.
Competitive Salary
You’re the best of the best, and your salary will reflect your experience and reward your contributions to Nitra.
Health Care
Your health comes first. We offer comprehensive health, vision, and dental insurance options.
Retirement Benefits
Your financial stability matters to us so we provide a generous employer 401K match.
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.