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Manager, Data Analysis - Personal Loans

Capital One · Riverwoods, IL · Full time

Posted Sep 23, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time you automated a manual control or monitoring process. How did you make sure nothing was lost in the switch?

What they are checking: Whether they can modernize governance without quietly dropping a check that someone depended on.

Tell me about a junior analyst you managed who struggled. What did you do, and how did it turn out?

What they are checking: Whether they coach with patience and specifics, since the role leads and develops a team of junior analysts.

Tell me about an analysis that changed a business decision. What made the leaders believe it?

What they are checking: Whether their work has real influence and whether they understand what earns trust with decision-makers.

What would you do

You find that two core personal loan tables define 'active account' differently, and teams have been using both. How do you handle it?

What they are checking: Whether they can drive standardization across teams while managing the fallout of past numbers changing.

A partner team keeps asking for one-off pulls that pull your analysts off the strategic data work. What do you do?

What they are checking: Whether they can protect long-term priorities while still keeping important partners served and satisfied.

About the work

The role drives AI-readiness for Discover Personal Loans data. What would you look at first to decide whether a data set is ready for advanced modeling?

What they are checking: Whether they know readiness means documented, consistent, centralized data with known lineage, not just data that exists.

How would you explain a data abstraction layer to a business partner who just wants their report to keep working?

What they are checking: Whether they can make a technical data concept useful and non-threatening to people outside the data team.

Walk me through how you'd write SQL to track monthly delinquency rates by loan vintage.

What they are checking: Whether they have hands-on analytic skill and understand the vintage view that lending businesses rely on.

How would you use analytics to find where the personal loan customer experience falls short of competitors?

What they are checking: Whether they can connect data to customer outcomes like application drop-off or payment friction, not just internal metrics.

How do you document data so that someone who joins next year can use it without asking you?

What they are checking: Whether they treat documentation as part of the work, which the posting ties directly to data quality.

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The full job description

As published by Capital One.

Manager, Data Analysis - Personal Loans At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. What you’ll do: • Driving the strategy and implementation of AI-readiness initiatives for the Discover Personal Loans (DPL) business, ensuring data is centralized, well-documented, and optimized for advanced analytical modeling • Leading the modernization of monitoring and governance processes by automating manual controls and establishing scalable data abstraction layers for seamless integration • Championing data quality and standardization efforts to enhance the usability of core DPL data, empowering cross-functional teams to drive business decisions • Leverage analytics to create a customer experience above our peers • Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers • Be a part of the full life cycle of projects and see end results • Collaborate across business units • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority • Experience real work life balance, with little travel involved On any given day you will be: • Mining data to arrive at specific and crucial information for the organization • Identifying and implementing process, data, and reporting improvements for the organization • Working with large and complex databases containing millions to billions of records • Improving operational efficiencies and effectiveness • Conducting analysis to evaluate processes and tests • Extracting and analyzing data to gauge product offerings • Consulting on the design and implementation of new production and data storage systems • Developing and implementing strategic tests of products, initiatives and marketing materials An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply. Basic Qualifications • Currently has, or is in the process of obtaining a: • Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or • Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. • At least 4 years of experience performing professional data analysis work • At least 4 years of experience performing programming Preferred Qualifications: • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline • At least 7 years of professional data analysis work experience • At least 4 years of experience with Python, R, Spark or SQL • At least 1 year of experience in people management • At least 1 years of project management experience • At least 1 year of experience in Tableau • Proficient utilizing and developing within AWS service 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 Data Analysis Manager Riverwoods, IL: $149,800 - $171,000 for Data Analysis 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).

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