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Business Manager, Product Analytics

Pay
Multiple pay statements — pay source
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $164,800 - $188,100 for Business Manager New York, NY: $179,700 - $205,100 for Business Manager
McLean, VA: $164,800 - $188,100 for Business Manager New York, NY: $179,700 - $205,100 for 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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Sponsors visas

What you’ll work on

Full posting
  • Identify high-leverage product growth opportunities with Product Management and Engineering

  • Design, analyze and interpret complex A/B/n tests to isolate customer incrementality

  • Turn user funnels and behavioral data into actionable product recommendations

  • Query, clean and transform large datasets using SQL, Python or R

  • Build statistical models and user segmentation frameworks

From the employer’s posting
Partner closely with Product Management and Engineering to identify high-leverage growth opportunities.
Design, analyze, and interpret complex A/B/n tests using advanced statistical techniques
Translate complex behavioral data and user funnels into actionable product recommendations and feature requirements.
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.

What you’ll bring

All qualifications

Core experience

  • At least 3 years of professional analysis experience
  • Bachelor's degree in a quantitative field (or in progress)
  • Or a Master's degree in a quantitative field or an MBA with a quantitative concentration

Preferred experience

  • 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
Qualification wording
At least 3 years of professional experience performing analysis
A Bachelor's Degree in a quantitative field
A Master's Degree in a quantitative field
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
Education & alternatives
- 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
- 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 Preferred Qualifications:
Preferred Qualifications: - Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering - 5+ years of experience in analysis
Apply at Capital One

Posting record

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Status in our records
Live
First seen by us
Sep 24, 202642 days ago
Recorded sightings
113
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 42

Similar jobs usually come down between day 7 and day 56.

At Capital One, jobs usually come down by about day 25.

From 10,204 similar postings that came down, and 245 of Capital One’s. Coming down is not always a hire.

Capital One is hiring

279 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
Where the posting names them
- 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.

Your next step

Complete your application on capitalone.wd12.myworkdayjobs.com. The employer’s form will show what is required.

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About Capital One

People
About 76,300 in 2025, up 45% from the year before.Annual report (SEC Form 10-K)
Company
Listed as COF.
H-1B visas
251 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

Basic Qualifications:  

  • 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

Preferred Qualifications:  

  • 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 

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

 

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $164,800 - $188,100 for Business Manager


 

New York, NY: $179,700 - $205,100 for 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).

Source details

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Pay
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $164,800 - $188,100 for Business Manager New York, NY: $179,700 - $205,100 for Business Manager
More source context
McLean, VA: $164,800 - $188,100 for Business Manager New York, NY: $179,700 - $205,100 for 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.
Location & working pattern

McLean, VA

Working pattern and location restrictions need checking in the full posting.

Work authorization
- 2+ years of experience in people management Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

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