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Senior Associate, BizOps & Analytics

Jerry - New York, NY, United States - In-office - posted 2026-08-31

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Jerry.ai is a pre-IPO fintech startup building a super app for car ownership, offering insurance, buy/sell, registration, loans, safety, repairs, parking, and more across a $2T US market. Founded in 2019, the company has achieved profitability, raised $240M in funding, scaled revenue 70X in five years, and grown to 5M+ customers with a 225-person team across six countries. As Senior Associate, Business Operations & Analytics, you will be a core strategic partner driving data-informed decisions across the company's most critical initiatives, including carrier growth, product development from 0-1, and operational optimization. You will work closely with the VP of BizOps & Analytics (ex-BCG, Better) and collaborate with marketing, product, and business development teams. Key responsibilities include: - Partnering with cross-functional teams to integrate customer performance insights into user and partner acquisition strategies - Leading the design, execution, and analysis of A/B experiments on new and existing features to inform product and business strategy - Defining, testing, and optimizing levers for profitable and scalable user acquisition and partnership growth - Identifying opportunities to automate manual processes and improve operational efficiency - Leveraging advanced machine learning models to conduct in-depth analyses and extract actionable insights The role requires a bachelor's degree in a quantitative or intellectually rigorous discipline, plus 2+ years of management consulting experience from a top-tier firm (McKinsey, Bain, BCG preferred) or relevant business analysis/operations experience. You should be highly comfortable with SQL and complex data analysis, possess strong first-principles problem-solving skills, and communicate effectively across all organizational levels from front-line employees to C-suite executives. Jerry.ai has a deeply data-driven culture with significant investment in data infrastructure, clean data systems, and a strong data engineering team. The environment attracts talent from top consulting firms and offers the opportunity to move from strategy recommendations to hands-on ownership of metrics, A/B testing, and real-world implementation.

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