Strategy and Analytics Sr Associate - Card Product

nitra•New York, NY

1d•$140,000 - $170,000•Hybrid

About The Position

Nitra is seeking a Strategy and Analytics Sr Associate to help shape the strategy, performance, and growth of its card business. The role uses data to answer key business questions, optimize card performance, evaluate experiments, and support data-backed decisions across product, marketing, and operations. It is suited to a candidate with experience in investment banking, private equity, hedge funds, consulting, or an analytical fintech environment who wants to apply quantitative skills at a fast-moving startup. The role leads card-feature implementation from strategy through launch, including market research, customer insights, competitive analysis, business cases, success metrics, and cross-functional coordination. It also leads business development for potential card partnerships or acquisitions, including partner evaluation, financial modeling, deal memos, diligence, and negotiations alongside senior leadership. The associate advises the co-founders and executive team, prepares and leads executive meetings, and provides recommendations on product priorities, deal economics, and growth opportunities. The position analyzes card performance, customer behavior, transactions, and unit economics; designs and measures experiments; builds dashboards and reporting frameworks; and defines and tracks card KPIs. It partners with teams across Product, Engineering, Marketing, Finance, and Operations, and works with engineering and data teams to improve data infrastructure, reporting automation, and metric definitions. The role also develops financial models and business cases, supports promotional calendars, rewards programs, and merchant partnerships, and conducts deep-dive analyses and ad hoc strategic work. Nitra operates a hybrid work policy: employees work from the office four days per week, with Wednesdays designated as work-from-home. The full-time position has a base salary range of $140,000–$170,000, plus bonus, equity, and benefits.

Requirements

2–6 years of experience in investment banking, private equity, hedge funds, strategy consulting, corporate strategy, strategic finance, fintech, or another highly analytical environment.
Strong quantitative and analytical skills, including 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 and ability to build detailed, structured quantitative models.
Experience partnering with Product, Engineering, or Data teams to define metrics and evaluate experiments.
Strong communication skills and ability to translate complex analysis into clear, actionable recommendations.
High-ownership mindset and comfort working in a fast-paced, ambiguous startup environment.
Bachelor’s degree in Finance, Economics, Engineering, Mathematics, Statistics, or a related quantitative field.

Responsibilities

Lead implementation of new card features from strategy through launch, using market research, customer insights, and competitive analysis to build business cases, define success metrics, and coordinate cross-functional launches.
Lead business development and pipeline generation for potential card partnerships or acquisitions; evaluate strategic partners, issuers, networks, and vendors; build financial models and deal memos; and lead diligence and negotiations alongside senior leadership.
Advise the co-founders and executive team, prepare and lead executive meetings, own agendas and pre-reads, and recommend product priorities, deal economics, and growth opportunities.
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 for product changes, marketing campaigns, rewards programs, and promotions to quantify impact and optimize outcomes.
Build dashboards and reporting frameworks using Sigma, Retool, or similar business intelligence tools.
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 turn business questions into structured analyses and measurable outcomes.
Build financial models and business cases for card features, rewards programs, merchant partnerships, and pricing or incentive strategies.
Develop executive-ready presentations that synthesize analysis into clear insights and recommendations for leadership.
Identify data-driven opportunities to improve card economics, including spend optimization, rewards strategy, and merchant or 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 using performance data and experimentation results.
Conduct deep-dive analyses, clean datasets, and support ad hoc strategic requests across the business.