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Full Time Data Analytics Jobs in Virginia (NOW HIRING)

SAP NS2 Data Analytics Engineer

Herndon, VA · On-site

$117K - $141K/yr

Regular Full Time Career Level: T2 Hiring Manager: Jolene Borell Recruiter Name: Sheri Mauldin ... SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data ...

SAP NS2 Data Analytics Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Regular Full Time Career Level: T2 Hiring Manager: Jolene Borell Recruiter Name: Sheri Mauldin ... SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data ...

Senior Engineer - Data Analytics

VA · On-site +1

$106K - $144K/yr

General information Job Posting Title Senior Engineer - Data Analytics Date Wednesday, June 24, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is ...

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical ... This is a full-time position. Major Duties & Responsibilities: Assist with customer requirements ...

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical ... This is a full-time position. Major Duties & Responsibilities: Assist with customer requirements ...

This is a full-time position. Major Duties & Responsibilities: • Assist with customer ... IBM Cognos Analytics and Administration o Oracle o SQL Scripting o ETL Tools - AWS Glue ...

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Showing results 1-20

Full Time Data Analytics information

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

To excel in a Full Time Data Analytics role, strong analytical skills, proficiency in mathematics and statistics, and a relevant degree such as in computer science, statistics, or data science are essential. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, as well as knowledge of database management systems, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are crucial for transforming complex data into actionable insights that drive business decisions and strategic growth.

What is the difference between Full Time Data Analytics vs Data Analyst?

AspectFull Time Data AnalyticsData Analyst
CredentialsBachelor's degree in Data Science, Analytics, or related field; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree often required; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentFull-time employment in corporate, tech, finance, or healthcare sectorsTypically similar; employed full-time in various industries
Employer & Industry UsageUsed by companies seeking ongoing data analysis supportCommonly used by organizations needing data insights and reporting

Full Time Data Analytics and Data Analyst roles often overlap in credentials, work environment, and industry usage. The main difference lies in scope: Full Time Data Analytics may imply a broader or more strategic role, while Data Analyst is more specific to data reporting and analysis tasks.

What are Full Time Data Analytics jobs?

Full Time Data Analytics jobs involve working with data to help organizations make informed business decisions. Professionals in these roles collect, process, and interpret large datasets to identify trends, patterns, and opportunities. They use statistical tools, programming languages, and visualization techniques to turn raw data into actionable insights. These positions typically require strong analytical skills and proficiency in software such as Excel, SQL, Python, or R. Full-time roles generally offer regular working hours and employee benefits.

What are some common challenges faced by professionals in full-time data analytics roles, and how can they be addressed?

One common challenge in full-time data analytics roles is managing large and complex datasets that may contain inconsistencies or missing values. Analysts often need to spend significant time on data cleaning and preprocessing before meaningful analysis can occur. Additionally, communicating technical findings to non-technical stakeholders can be challenging, requiring strong data visualization and storytelling skills. Collaborating closely with business teams and continuously refining communication methods can help address these challenges and increase the impact of analytics work.
What are the most commonly searched types of Data Analytics jobs in Virginia? The most popular types of Data Analytics jobs in Virginia are:
Senior Manager Data Analytics - People Strategy & Analytics

Senior Manager Data Analytics - People Strategy & Analytics

Capital One

Richmond, VA • On-site

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

Senior Manager Data Analytics - People Strategy & 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

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










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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