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Data Analytics Associate Jobs in Virginia (NOW HIRING)

Data Architect

Vienna, VA · On-site

$64 - $82.25/hr

... Data Analyst Associate • Azure Enterprise Data Analyst Associate Responsibilities: • Lead analytics projects independently to discover insights to guide strategic decisions and uncover ...

Principal Associate, Data Scientist

Mclean, VA · On-site

$59K - $60K/yr

Principal Associate, Data Scientist Data is at the center of everything we do. As a startup, we ... This position will work with other quantitative analysts, data scientists, and the business ...

Principal Associate, Data Scientist

Mclean, VA · On-site

$59K - $60K/yr

Principal Associate, Data Scientist Data is at the center of everything we do. As a startup, we ... This position will work with other quantitative analysts, data scientists, and the business ...

... Associates. CarMax's retail business is undergoing an exciting eCommerce & omnichannel ... From navigating large-scale data migrations to enabling self-service analytics, the Retail Data ...

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Showing results 1-20

Data Analytics Associate information

See Virginia salary details

$3.2K

$6.2K

$8.9K

How much do data analytics associate jobs pay per month?

As of Jul 2, 2026, the average monthly pay for data analytics associate in Virginia is $6,236.67, according to ZipRecruiter salary data. Most workers in this role earn between $5,658.33 and $6,650.00 per month, depending on experience, location, and employer.

What is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

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

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
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 cities in Virginia are hiring for Data Analytics Associate jobs? Cities in Virginia with the most Data Analytics Associate job openings:
Director, Data Analysis - US Card Data

Director, Data Analysis - US Card Data

Capital One

Richmond, VA

Full-time

Posted 7 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

71st of 144 rated banks


Job description

Director, Data Analysis - US Card Data

As Capital One continues to mature its Business Intelligence and Analytical capabilities, we are seeking a dynamic, high-performing Director, Data Analytics to lead its adoption of Big Data tools and other developing data technologies, both proprietary and open source. This position will have a significant impact on the business, so we are seeking someone who can take charge, think big, and deliver on their commitments.

As the Director of Data Analysis in US Card, you will lead development and execution of data products and aggregations to support business decision making, product strategies, modeling and valuations. The Director will oversee a team of data analysts ensuring the collection, standardization, aggregation, analysis, and interpretation of complex data sets to drive efficiency and growth.

The role involves collaborating with cross functional teams (business, data, product, tech) to implement destination Internal Card data strategy. They will establish best practices of data governance, ensure data accuracy and quality and provide strategic guidance to senior leadership and business for effective data management and governance. 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. An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. Prior experience creating organization roadmaps and driving strategy execution.

On any given day you will be:

  • Leading the US Card analytical team

  • Driving data source and tool innovations based on stakeholder data needs, including adoption of Big Data technologies and development of a program to train and enhance associate skill-sets

  • Creating leading-edge data products that uncover opportunities for improvement in our US Card portfolio and processes

  • Leading governance of our data assets, including development of a governance plan and structure

  • Providing strategic leadership on large cross-functional horizontal initiatives

  • Reporting on data analysis activities to partner groups, incorporating novel reporting and data visualization techniques

  • Partnering with diverse stakeholders (from Analysts to Executives) to deliver horizontally and vertically

  • Actively championing the usage and adoption of data tools and solutions across the entire US Card Data Analyst community

  • Working in an agile fashion, managing the stakeholder set and capacity for the team

Key accountabilities:

  • Partner with various engineering and enterprise functions in adopting and informing data flow standards across ingestion, transformation, access and publishing

  • Driving data source and tool innovations based on stakeholder data needs, including adoption of cloud native technologies

  • Development of a program to train and enhance associate skill sets and actively championing the usage and adoption of data tools and solutions across the entire RDB Data Analyst community

  • Lead the ongoing migration from an on-premise implementation to a cloud based (AWS) implementation

  • Strategic orientation in their ability to define roadmaps in an incremental way to support business goals

Basic Qualifications:

  • Bachelor's Degree plus at least 9 years of experience in data analytics, or Master's Degree plus at least 7 years of experience in data analytics, or PhD plus at least 4 years of experience in data analytics

  • At least 5 years of Professional Data Analysis experience

  • At least 5 years of People Management experience

  • At least 2 years of Big Data technology experience

  • At least 2 years of Data Visualization experience

Preferred Qualifications:

  • Master's Degree

  • 10+ years of Professional Data Analysis experience

  • 5+ years of Big Data experience (AWS and Spark)

  • 5+ years of cloud native (AWS) data processing experience

  • 5+ years of Process Management experience

  • 5+ years of Project Management experience

  • 5+ years of experience with Python

  • 5+ years of Data Governance experience

  • 2+ years of experience with streaming data technologies (Kafka, Flink, Spark streaming)

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: $230,400 - $263,000 for Director, Data Analysis


Richmond, VA: $209,500 - $239,100 for Director, Data Analysis










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 theCapital 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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