Senior Strategy and Analytics Associate – Card Product

Nitra

. Lead implementation of new card features from strategy to launch, including market research, customer insights, competitive analysis, business cases, success metrics, and cross-functional launches .

Posted 10/22/2026full-timeNew York City • New York • United StatesSenior💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in financial modeling, business case development, and performance measurement frameworks, with a strong focus on card economics and strategic partnerships. Proven ability to analyze complex datasets and translate insights into actionable recommendations for growth and profitability.

Highest-signal resume keywords

Financial ModelingBusiness Case DevelopmentData AnalysisKPI DefinitionStrategic Partnerships

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisUnit EconomicsForecasting ModelsPerformance MeasurementA/B TestingDashboard DevelopmentData CleaningReporting AutomationExcel ProficiencyBusiness Intelligence

Soft Skills

Strong CommunicationOwnership MindsetProblem Solving

Tools & Technologies

SigmaRetoolTableauLooker

Industry Keywords

Investment BankingPrivate EquityHedge FundsStrategy ConsultingFintech

Tech Stack

Tools & technologies

Tableau

About the role

Key responsibilities & impact

Lead implementation of new card features from strategy to launch, including market research, customer insights, competitive analysis, business cases, success metrics, and 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; lead diligence and negotiations with senior leadership
Advise co-founders and the executive team through executive meetings, agendas, pre-reads, and recommendations
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 promotional initiatives
Build dashboards and reporting frameworks using Sigma, Retool, or similar BI tools
Define and track 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 card features, rewards programs, merchant partnerships, and pricing or incentive strategies
Develop executive-ready presentations with clear insights and recommendations
Improve card economics through spend optimization, rewards strategy, and merchant/gift card performance analysis
Improve data infrastructure, reporting automation, and metric definitions with engineering and data teams
Support promotional calendars, rewards programs, and merchant partnerships using performance data and experimentation results
Execute deep-dive analyses, clean datasets, and support ad hoc strategic requests

Requirements

What you’ll need

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

Benefits

Comp & perks

Equity
Competitive salary
Comprehensive health, vision, and dental insurance options
Generous employer 401K match
Hybrid work policy with Wednesdays designated as a work-from-home day