Senior Business Manager, Product Analytics

Capital One

. Serve as a key architect for experimentation and product strategy as a hands-on individual contributor .

Posted 11/2/2026full-timeUnited StatesSenior💰 $182,500 - $249,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, experimentation methodologies, and data analysis to drive product strategy and growth. Proficient in SQL and Python for data manipulation and analysis, with strong communication skills to convey insights to diverse audiences.

Highest-signal resume keywords

Statistical ModelingDesign Of Experiments (DoE)Causal Inference MethodologiesSQLPython

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisQualitative AnalysisProject ManagementPeople ManagementA/B/n TestingKPI FrameworksUser SegmentationData CleaningData TransformationBehavioral Data Analysis

Soft Skills

Executive CommunicationInterpersonal NegotiationCollaborationStrategic ThinkingProblem Solving

Industry Keywords

E-CommerceFintechSaaSProduct DevelopmentFinancial ModelingEconomic Forecasting

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Serve as a key architect for experimentation and product strategy as a hands-on individual contributor
Shape product development, quantify new opportunities, and identify upcoming challenges
Define methodologies for measuring success and serve as a subject matter expert in experimentation, causal inference, and metrics selection
Partner with teams to prioritize what to build, set goals, and understand product impact
Influence product direction, investment decisions, and product vision for the Retail Bank
Drive product-led growth using rigorous analytical approaches, statistical methodologies, and insight frameworks
Collaborate with Product, Engineering, Research, Data, Finance, and other partners
Partner with Product Management and Engineering to identify high-leverage growth opportunities
Translate behavioral data and user funnels into actionable product recommendations and feature requirements
Define and enforce standards for randomization, power analysis, and conversion window modeling
Design, analyze, and interpret complex A/B/n tests using advanced statistical techniques
Query, clean, and transform massive datasets using SQL, Python, or R
Develop statistical models, user segmentation frameworks, and exploratory analyses
Drive cross-functional alignment and facilitate peer review gates
Establish standardized KPI frameworks
Synthesize data insights into clear strategic narratives for executive and non-technical audiences

Requirements

What you’ll need

Bachelor’s Degree
At least 3 years of experience performing quantitative analysis
At least 3 years of experience performing qualitative analysis
At least 1 year of experience performing people management
At least 1 year of experience performing project management
Fluency in SQL and Python
Deep expertise in statistical modeling, Design of Experiments (DoE), and causal inference methodologies
Significant experience in high-velocity product environments such as e-commerce, fintech, or SaaS
Experience navigating complex, ambiguous zero-to-one challenges and delivering clear outcomes
Strong executive communication and interpersonal negotiation skills
Understanding of how digital products are built, instrumented, and scaled
Preferred: Master’s Degree in Business or a quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, or Engineering
Preferred: 5+ years of experience in quantitative analysis
Preferred: 5+ years of experience in qualitative analysis
Preferred: 2+ years of experience in people management
Preferred: 2+ years of experience in product development
Preferred: 2+ years of experience in financial modeling
Preferred: 2+ years of experience in economic forecasting
Preferred: 2+ years of experience in project management
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants who require them