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Salary: USD 140,000 - 170,000 / annual
Nitra is building an ecosystem of fintech and software solutions to help doctors manage their practices more efficiently. The company was founded by unicorn founders with successful exits and is backed by leading VCs including Andreessen Horowitz and NEA.
As Strategy and Analytics Senior Associate for Card Product, you will drive the strategy, performance, and growth of Nitra's card business using data-driven insights. This role bridges strategy, analytics, and business development, requiring you to synthesize complex analyses into clear recommendations for executive leadership.
Key Responsibilities:
- Lead implementation of new card features from strategy through launch, including market research, competitive analysis, and business case development. Define success metrics and coordinate cross-functional launches with Product, Engineering, Risk, Compliance, and Marketing.
- Serve as team lead for business development, identifying and evaluating strategic partnerships, acquisitions, issuers, networks, and vendors. Build financial models, deal memos, and lead diligence alongside senior leadership.
- Advise co-founders and executive team by preparing executive meetings, owning agendas and pre-reads, and providing clear recommendations on product priorities, deal economics, and growth opportunities.
- Analyze card performance, customer behavior, transaction trends, and unit economics to identify growth, engagement, and profitability opportunities.
- Develop and measure A/B tests across product changes, marketing campaigns, rewards programs, and promotions to quantify impact and optimize outcomes.
- Build dashboards and reporting frameworks using BI tools (Sigma, Retool, or similar) 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 strategies.
- Develop executive-ready presentations that synthesize complex analysis into clear insights and recommendations.
- Identify opportunities to improve card economics through data-driven insights, including spend optimization and rewards strategy.
- Work with engineering and data teams to improve data infrastructure, reporting automation, and metric definitions.
- Support development and optimization of promotional calendars, rewards programs, and merchant partnerships based on performance data and experimentation.
- 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.
Nitra maintains a hybrid work policy with four days in office and Wednesdays as work-from-home.
