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Data Analytics Manager Jobs in Reston, VA (NOW HIRING)

Senior Manager, Data Analytics 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 ...

Senior Manager, Data Analytics 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 ...

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will ...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

What You'll Contribute As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be ...

Ability to manage multiple projects in a dynamic environment ADDITIONAL INFORMATION This position ... Data & Analytics 900 G Street, NW Fourth Floor Washington, DC 20001 Fax: (202) 204-5214 No ...

Ability to manage multiple projects in a dynamic environment ADDITIONAL INFORMATION This position ... Data & Analytics 900 G Street, NW Fourth Floor Washington, DC 20001 Fax: (202) 204-5214 No ...

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Data Analytics Manager information

See Reston, VA salary details

$32.3K

$101.3K

$179.3K

How much do data analytics manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data analytics manager in Reston, VA is $101,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $130,800.00 per year, depending on experience, location, and employer.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Reston, VA? The most popular types of Data Analytics jobs in Reston, VA are:
What are popular job titles related to Data Analytics Manager jobs in Reston, VA? For Data Analytics Manager jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Data Analytics Manager jobs? Cities near Reston, VA with the most Data Analytics Manager job openings:
Senior Manager, Data Analytics

Senior Manager, Data Analytics

Capital One

Mclean, VA • On-site

Full-time

Posted 19 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Senior Manager, Data Analytics
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

As a Senior Data Analytics Manager focused on Product Analytics, you will lead analysts, partner cross-functionally, and set data strategy for a wide range of innovative products including consumer facing experiences, platform experiences, and modernization efforts. This involves remediating DA solutions, driving controls, designing data products, and enabling strategic journeys. You'll own the team's roadmap, foster analytical excellence, and ensure data product trust and reliability. This is a highly collaborative role in which you will problem solve alongside partners in Product, Business Analysts in Product Analytics, Engineering, and others.
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 Manager
Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager
New York, NY: $219,000 - $249,900 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.
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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