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Associate, BizOps & Analytics

Jerry - New York, NY, USA - Hybrid - posted 2026-09-29

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Jerry.ai is building an AI-powered super app for car ownership, offering insurance, buying/selling, registration, loans, safety, repairs, parking, and more across a $2T market. The company has achieved profitability (early 2024), raised $240M in funding, scaled revenue 70X over 5 years, and grown to 5M+ customers across 225 employees in 6 countries. They are now scaling from 5M to 50M customers with ambitious goals to become a $10B business. You will join the Business Operations & Analytics team, reporting to the VP of BizOps & Analytics (ex-BCG, Better). This role focuses on championing data-driven decisions across critical business initiatives including carrier growth, product development (0-1), and operational optimization. You will leverage advanced machine learning models to conduct in-depth analyses and extract insights that shape growth strategies. Key responsibilities include: - Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies - Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting insights to inform product and business strategies - Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth - Identify opportunities to automate manual processes and optimize operational efficiency The team is described as incredibly versatile with no rigid rules on ownership—if you have a strong, data-backed hypothesis, you are given resources to drive projects from start to finish. The environment emphasizes talent density and career acceleration. REQUIREMENTS: - Bachelor's degree in a quantitatively or intellectually rigorous discipline - 1+ years of management consulting experience from a top firm (McKinsey, Bain, Boston Consulting Group preferred) OR relevant experience in business analysis/operations - High level of comfort with SQL and/or running complex data analysis - Framework for problem-solving and first-principles thinking - Ability to communicate effectively with audiences from front-line employees to C-suite - High personal standards and commitment to excellence

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