We're looking for:A Strategy & Analytics, Card Associate who will help shape the strategy, performance, and growth of Nitra's card business. You will use data to answer critical business questions, optimize card performance, evaluate experiments, and drive data-backed decisions across product, marketing, and operations.
This role is ideal for someone from investment banking, private equity, hedge funds, consulting, or a highly analytical fintech environment who wants to apply strong quantitative skills to a fast-moving startup building a modern card product.
Your responsibilities will include:- 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
You have:- 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
What we offer:- 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.
The base salary range for this full-time position is $90k - $140k + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed reflect the base salary only, and do not include bonus, equity, or benefits.
