Strategy and Analytics Sr Associate - Card Product

nitra•New York, NY

6d•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 business questions, optimize card performance, evaluate experiments, and support data-backed decisions across product, marketing, and operations. It is suited to someone 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 position leads card-feature implementation from strategy through launch, develops business cases from market and customer insights, and defines success metrics for cross-functional launches. It also supports partnership and acquisition pipeline development, including partner evaluation, financial modeling, diligence, and negotiations. The associate advises company leadership, analyzes card performance and unit economics, builds dashboards and reporting, evaluates experiments, and develops executive-ready recommendations. Nitra has a hybrid work policy: employees work from the office four days per week, with Wednesdays designated as work-from-home. The full-time position offers a base salary of $140,000–$170,000, plus bonus, equity, and benefits. Salary within the range depends on work location and job-related factors.

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 the 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 operating 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 to launch.
Turn market research, customer insights, and competitive analysis into business cases.
Define success metrics and lead cross-functional launches with Product, Engineering, Risk, Compliance, and Marketing.
Lead business development and pipeline generation for potential card partnerships or acquisitions.
Identify and 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 across product changes, marketing campaigns, rewards programs, and promotional initiatives.
Build dashboards and reporting frameworks using Sigma, Retool, or similar BI 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.
Create executive-ready presentations that turn complex analysis into clear insights and recommendations.
Identify ways to improve card economics through data-driven insights, 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 promotional calendar, rewards program, and merchant partnership development and optimization using performance data and experiment results.
Conduct deep-dive analyses, clean datasets, and support ad hoc strategic requests across the business.