Business Analytics Manager Visa Sponsorship Jobs in Virginia

INTRODUCTION

We are looking for a tenured, highly technical Product Analytics Sr. Manager to serve as a key architect for our experimentation and product strategy. This is a hands-on, individual contributor role for a seasoned practitioner who thrives in the weeds of data but operates with the strategic view to drive Product growth. 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.

You will help shape product development, quantify new opportunities, and identify upcoming challenges. You will help define the methodologies for how we measure success, serving as the subject matter expert in experimentation, causal inference, and metrics selection. Your work will help partner teams prioritize what to build, set goals, and understand their impact.

Your work will directly influence product direction, investment decisions, and the product vision for the Retail Bank. 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. This is a highly collaborative role in which you will problem solve alongside partners and leadership in Product, Engineering, Research, Data, Finance, and others.

KEY 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: Serve as internal authority on experimentation and causal inference. Define and enforce the standards for randomization, power analysis, and conversion window modeling. 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.

WHAT SUCCESS LOOKS LIKE

• Proven Track Record: A seasoned analytical expert with significant experience in high-velocity product environments (e.g., e-commerce, fin-tech, or SaaS). You have navigated complex, ambiguous zero-to-one challenges and delivered clear outcomes.
• Technical Mastery: Fluency in SQL and Python is a baseline requirement. Deep expertise in statistical modeling, DoE (Design of Experiments), and causal inference methodologies is critical.
• Influencer Mindset: You possess strong executive communication skills and the ability to drive agreement through intellect and interpersonal negotiation rather than hierarchy. You can explain the "why" behind a complex statistical result to non-technical partners.
• Product Sense: You understand how digital products are built, instrumented, and scaled. You know when to utilize centralized, self-serve experimentation tools versus when a high-bar, gate-kept methodology is required.

BASIC QUALIFICATIONS:

• 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

PREFERRED QUALIFICATIONS:

• Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering
• 5+ years of experience in quantitative analysis
• 5+ years of experience in qualitative analysis
• 2+ years of experience in people management
• 2+ years of experience in product development
• 2+ years of experience in financial modeling
• 2+ years of experience in economic forecasting
• 2+ years of experience in project management

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

COMPENSATION

• McLean, VA: $200,700 - $229,100 for Sr. Business Manager
• New York, NY: $219,000 - $249,900 for Sr. Business Manager
• Richmond, VA: $182,500 - $208,300 for Sr. Business Manager
• Wilmington, DE: $182,500 - $208,300 for Sr. Business Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).