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Data Analytics Manager Jobs in Virginia (NOW HIRING)

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

Sr. Manager Data Analytics VB Spine Leesburg, Virginia, United States About this position Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine Looking for a career where ...

Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine Looking for a career where your work truly matters? At VB Spine, you'll be part of a mission-focused team that supports ...

The Data Analytics Architect leads the design, integration, and governance of data systems that ... Establish data governance policies, data quality standards, and lifecycle management processes.

Showing results 21-40

Data Analytics Manager information

See Virginia salary details

$30.7K

$96.3K

$170.5K

How much do data analytics manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analytics manager in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a data analytics manager?

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.

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 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 Virginia?

The most popular types of Data Analytics jobs in Virginia are:

What are popular job titles related to Data Analytics Manager jobs in Virginia?

For Data Analytics Manager jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Data Analytics Manager jobs?

Cities in Virginia with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $96,311 per year, or $46.3 per hour.

Data Analysis Manager - Analytics & Transformation

Capital One National Association

Mclean, VA • On-site

$165 - $188/hr

Other

Posted 18 days ago


Key responsibilities

  • Lead product analytics efforts to measure and improve the performance and health of products and platforms.

  • Mine and analyze large and complex datasets to extract actionable insights and evaluate processes, tests, and product offerings.

  • Manage and mentor a team of junior analysts while collaborating across business units to support data-driven decision-making.


Job description

Data Analysis Manager – Analytics & Transformation

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.

The Enterprise Data team is focused on maximizing the value of our data ecosystem and enabling real-time, intelligent experiences built on a scalable, future-ready foundation. We are a highly collaborative, cross-functional team working across Product, Technology, Design, Risk, and other partners to build a modern enterprise data ecosystem.

We are looking for an exceptional and innovative Data Analysis Manager to solve complex business and product challenges across our Enterprise Data Product teams. You will lead Product Analytics to measure and improve the performance and health of our Products and Platforms, transforming complex data into actionable, AI-enabled insights that shape product strategy and drive better decisions. If you are a strategic thinker who thrives on solving complex problems and using Data and AI to influence product development, this is an opportunity to make a meaningful impact.

What you’ll do:
  • Drive current and future strategy by leveraging your analytical skills
  • Assist with building and using models to test and validate data
  • Work with vast amounts of data in new and evolving environments
  • Be a part of growing and developing our brand in new and emerging markets
  • 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 experienceAt 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.

McLean, VA: $164,800 - $188,100 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.

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.

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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