Business Manager, Product Analytics
$164.8k - $188.1kCapital One Bank
Business Manager, Product Analytics As a Business Manager at Capital One, you will apply your strategic and analytical skills to major company challenges. You’ll team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. We are looking for a Manager for the Retail Bank’s Product Analytics team. This is a hands-on role for a seasoned practitioner who thrives in the weeds of data by applying decision science but operates with the strategic view to drive product growth. You will help shape product development, quantify new opportunities, and identify upcoming challenges. Your work will help partner teams prioritize what to build, set goals, and understand their impact. You will help drive product led growth by employing a varied toolkit of rigorous analytical approaches, different statistical methodologies, and frameworks to surface insights on new and exciting opportunities and challenges. Your work will directly influence product direction, investment decisions, and the product vision for the Retail Bank. This is a highly collaborative role in which you will problem solve alongside partners and leadership in Product, Engineering, Research, Data, Finance, and others. General Responsibilities:
- Product Strategy & Roadmap Influence: Partner closely with Product Management and Engineering to identify high-leverage growth opportunities. Translate complex behavioral data and user funnels into actionable product recommendations and feature requirements.
- Experimentation & Causal Inference: Set methodological standards for product experimentation. Design, analyze, and interpret complex A/B/n tests using advanced statistical techniques (randomization, power calculations, variance reduction, quasi-experiments) to isolate true customer incrementality.
- Hands-On Technical Execution: Query, clean, and transform massive, complex datasets using SQL, Python, or R. Develop statistical models, user segmentation frameworks, and exploratory analysis to uncover engagement patterns.
- Cross-Functional Leadership & Alignment: Drive alignment across cross-functional partners (Product, Tech, Research, Finance). Facilitate peer review gates to maintain rigorous analytical integrity and establish standardized KPI frameworks.
- Data Storytelling & Executive Communication: Synthesize multi-faceted data insights into clear, strategic narratives. Able to influence audiences beyond vanity metrics to focus on underlying customer value and long-term business impact.
- At least 3 years of professional experience performing analysis
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field)
- A Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
- Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering
- 5+ years of experience in analysis
- 2+ years of experience in financial services
- 1+ year of experience in consulting
- 2+ years of experience in people management
$164.8k - $188.1k
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