Data Analytics Engineer Jobs in Richmond, VA
Data Analytics Engineer jobs in Richmond, Virginia concentrate in Scott's Addition, the Shockoe Bottom corridor, and the West End, where financial services, healthcare systems, and government-adjacent firms drive consistent demand. Employers hiring right now include Capital One, Information Technology Senior Management Forum, and Allianz. Find a role that fits below and apply directly.
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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.
As a Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.
On a given day you will be:
Refining a new Enterprise-wide analytical tools validation framework
Planning and executing validation projects
Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
Understanding technical issues in analytical tools and assessing tools risks and opportunities
Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
Leveraging education, colleagues and training opportunities to develop solutions to business problems
Coaching and mentoring junior staff
An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. 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.
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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
At least 5 years of experience performing professional data analysis work
At least 5 years of experience leading and developing with open source data technologies
At least 2 years of experience managing people
Preferred Qualifications:
Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
At least 7 years of experience in statistical or econometrics hands-on work
At least 5 years of experience manipulating and performing analysis with large data sets
At least 5 years of experience in financial services industry
At least 5 years of experience in developing statistical or econometric models
At least 5 years of experience in validating statistical or econometric models
At least 2 years of experience with data governance
At least 2 years of experience with predictive analytics
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: $200,700 - $229,100 for Sr. Data Analysis ManagerRichmond, VA: $182,500 - $208,300 for Sr. 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.
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).
See All 111+ Data Analytics Engineer Jobs in Richmond
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Richmond
Who's Hiring
- Capital One56

- Information Technology Senior Management Forum28
- Allianz9

- McKesson9

- YMCA of Greater Richmond9

Top Industries Hiring
- Banking & Financial Services
- Fintech
Data Analytics Engineer Jobs in Richmond: Frequently Asked Questions
How do I get a data analytics engineer job in Richmond?
Target Richmond's strongest hiring sectors: financial services firms along the James River corridor, health systems anchored in the Fan and near VCU Medical Center, and government contractors based in the West End and Innsbrook. Candidates with hands-on experience in dbt, Snowflake, or Databricks stand out locally. Networking through Richmond Tech and RVA data meetups also gives applicants a direct edge in this relationship-driven market.
Which companies hire data analytics engineers in Richmond?
Employers hiring data analytics engineers in Richmond right now include Capital One, Information Technology Senior Management Forum, and Allianz, based on current listings on Migrate Mate as of August 2026. Richmond's mix of regional banks, health systems, insurers, and federal contractors creates steady demand across both mid-size firms and large enterprise organizations headquartered or regionally based here.
Are there remote data analytics engineer jobs in Richmond?
Yes, data analytics engineering is well-suited to remote and hybrid arrangements given its desk-based, analytical nature. About 34% of data analytics engineer openings tied to Richmond are remote or hybrid as of August 2026, reflecting broader tech-sector flexibility. Pipeline development, data modeling, and BI reporting tasks are the most commonly remote components for Richmond-based roles.
How can I get a data analytics engineer job in Richmond with little or no experience?
The most realistic entry path in Richmond is targeting analytics or data engineering associate roles at regional banks, insurance carriers, or health systems, many of which run structured rotational or graduate programs. Building a portfolio with public datasets and tools like dbt or Python, then applying to Richmond-based consulting firms or staffing agencies that place junior data talent, opens doors that cold applications to enterprise employers rarely do.
Which industries hire the most data analytics engineers in Richmond?
The sectors hiring the most data analytics engineers in Richmond are Banking & Financial Services and Fintech, based on current listings on Migrate Mate as of August 2026. Richmond's status as a regional financial hub, combined with its large health system and government contractor presence, means these sectors generate the most consistent and varied data engineering demand in the metro area.
See All 111+ Data Analytics Engineer Jobs in Richmond
Find roles in Richmond that match your experience and apply in just a few clicks.
Find Data Analytics Engineer Jobs