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Data Analysis Assistant Jobs in Virginia (NOW HIRING)

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 ...

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 ...

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 ...

... and analysis. * Assist in scoping, developing, planning, executing, and assessing the wargame ... Bachelor's degree and at least 5 years' experience in data analysis. * Strong writing and critical ...

... and analysis. * Assist in scoping, developing, planning, executing, and assessing the wargame ... Bachelor's degree and at least 5 years' experience in data analysis. * Strong writing and critical ...

... and analysis. * Assist in scoping, developing, planning, executing, and assessing the wargame ... Bachelor's degree and at least 5 years' experience in data analysis. * Strong writing and critical ...

... and analysis. * Assist in scoping, developing, planning, executing, and assessing the wargame ... Bachelor's degree and at least 5 years' experience in data analysis. * Strong writing and critical ...

... and analysis. * Assist in scoping, developing, planning, executing, and assessing the wargame ... Bachelor's degree and at least 5 years' experience in data analysis. * Strong writing and critical ...

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Data Analysis Assistant information

See Virginia salary details

$10

$18

$26

How much do data analysis assistant jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data analysis assistant in Virginia is $18.89, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $21.20 per hour, depending on experience, location, and employer.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the role of a data analysis assistant. Human skills like interpreting complex data, making strategic decisions, and communicating insights remain essential. Data analysts and assistants who develop skills in tools like SQL, Python, or data visualization are better positioned to adapt to technological changes.

What are the top 3 skills for a data analyst?

A data analysis assistant should have strong analytical skills to interpret data accurately, proficiency in data manipulation tools like Excel, SQL, or Python, and good communication skills to present findings clearly. Familiarity with data visualization software such as Tableau or Power BI is also valuable. These skills enable effective data-driven decision-making and reporting.

Is 40 too late for data science?

For a Data Analysis Assistant or similar data-related roles, starting a career at 40 is feasible as many employers value experience and analytical skills. Success often depends on acquiring relevant tools like SQL, Python, or Excel, and building a strong portfolio or certifications, regardless of age.

What is the difference between Data Analysis Assistant vs Data Analyst?

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

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

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A data analysis assistant supports data collection, cleaning, and organization to prepare datasets for analysis. They often use tools like Excel, SQL, or statistical software to identify trends and generate reports under the supervision of data analysts or scientists.

What are some common challenges faced by Data Analysis Assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
What are the most commonly searched types of Data Analysis jobs in Virginia? The most popular types of Data Analysis jobs in Virginia are:
What are popular job titles related to Data Analysis Assistant jobs in Virginia? For Data Analysis Assistant jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Data Analysis Assistant jobs? Cities in Virginia with the most Data Analysis Assistant job openings:
Infographic showing various Data Analysis Assistant job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, 1% Temporary, and 6% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,289 per year, or $18.9 per hour.
Manager, Data Analysis

Full-time

Posted 27 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

67th of 142 rated banks


Job description

Manager, Data Analysis

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:

  • 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 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


New York, NY: $179,700 - $205,100 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. 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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