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Business Analytics Data Science Jobs in Virginia

ManTech

Data Scientist - Workforce Analytics

Springfield, VA

$141K - $236K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... training while leveraging data science to protect privacy rights and civil liberties ... Utilizing and developing queries from HRIS systems and business intelligence tools such as Python ...

Frontier Technology Inc.

Data Scientist

Norfolk, VA · Hybrid

Department of Defense Secret Clearance. * 4+ years of data science experience with a Bachelor's Degree in Business Analytics, Mathematics, Computer Science, or related field. * 4+ years of coding ...

Frontier Technology Inc

Data Scientist

Norfolk, VA · On-site

Department of Defense Secret Clearance. * 4+ years of data science experience with a Bachelor's Degree in Business Analytics, Mathematics, Computer Science, or related field. * 4+ years of coding ...

Frontier Technology Inc.

Data Scientist

Norfolk, VA · On-site

Department of Defense Secret Clearance. * 4+ years of data science experience with a Bachelor's Degree in Business Analytics, Mathematics, Computer Science, or related field. * 4+ years of coding ...

Frontier Technology Inc.

Data Scientist

Norfolk, VA · Hybrid

Department of Defense Secret Clearance. * 4+ years of data science experience with a Bachelor's Degree in Business Analytics, Mathematics, Computer Science, or related field. * 4+ years of coding ...

Frontier Technology Inc.

Data Scientist

Norfolk, VA · Hybrid

Department of Defense Secret Clearance. * 4+ years of data science experience with a Bachelor's Degree in Business Analytics, Mathematics, Computer Science, or related field. * 4+ years of coding ...

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Business Analytics Data Science information

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How much do business analytics data science jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for business analytics data science in Virginia is $45.06, according to ZipRecruiter salary data. Most workers in this role earn between $34.81 and $52.88 per hour, depending on experience, location, and employer.

What is business analytics data science?

Business analytics data science is a field that combines data analysis, statistical modeling, and technology to help organizations make data-driven decisions. Professionals in this area use various tools and methods to collect, process, and interpret large datasets, uncovering insights that can improve business performance and strategy. They often create predictive models, visualize trends, and provide actionable recommendations to stakeholders. The goal is to turn raw data into valuable information that supports business objectives.

What are the key skills and qualifications needed to thrive as a business analytics data scientist?

To thrive as a Business Analytics Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in tools such as Python, R, SQL, and data visualization platforms like Tableau, along with familiarity with machine learning libraries and sometimes certifications (e.g., Microsoft Certified: Data Scientist Associate), is typical. Critical thinking, effective communication, and business acumen are standout soft skills that help translate data insights into actionable strategies. These abilities are essential for turning complex data into valuable business solutions that drive informed decision-making and organizational growth.

How do business analytics data science professionals typically collaborate with other departments within an organization?

Business Analytics Data Science professionals frequently work cross-functionally, collaborating with teams such as marketing, finance, operations, and IT to understand business challenges and identify opportunities where data-driven insights can add value. They often participate in meetings to gather requirements, share analytical findings, and help stakeholders interpret data results to inform decision-making. This collaborative environment not only broadens exposure to different business areas but also enhances communication and project management skills, which are crucial for career growth in this field.

What is the difference between Business Analytics Data Science vs Data Analyst?

AspectBusiness Analytics Data ScienceData Analyst
Required CredentialsBachelor's or master's in data science, analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree in statistics, mathematics, or related fields; often no specific certifications required
Work EnvironmentCross-functional teams, strategic projects, often in tech, finance, or consultingOperational roles, reporting, dashboards, often in various industries
Employer & Industry UsageUsed in industries focusing on predictive modeling and advanced analyticsCommon in business operations, reporting, and data visualization

Business Analytics Data Science involves advanced statistical modeling, machine learning, and predictive analytics to inform strategic decisions. Data Analysts focus on interpreting data, creating reports, and visualizations to support daily business operations. While both roles require strong analytical skills, Business Analytics Data Science typically demands more technical expertise and programming knowledge.

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

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

What job categories do people searching Business Analytics Data Science jobs in Virginia look for?

The top searched job categories for Business Analytics Data Science jobs in Virginia are:

Business Analytics Data Science jobs near you
Infographic showing various Business Analytics Data Science job openings in Virginia as of August 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 100% In-person job distribution, with an average salary of $93,726 per year, or $45.1 per hour.

Data Scientist - Workforce Analytics with Security Clearance

MANTECH

Springfield, VA • On-site

Other

Re-posted 23 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 244 rated software companies

Job description

MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA. The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties. Responsibilities include but are not limited to: * Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders.
* Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau.
* Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting.
* Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment.
* Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization.
* Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material.
* Participating in internal and external working groups and meetings related to workforce demographic data topics and project management.
Minimum Qualifications: * Bachelor's Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field.
* 7+ years of progressively responsible experience in social science or workforce analytics-related fields.
* Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling.
* Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail.
* Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL.
* Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.
Preferred Qualifications: * Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field.
* Advanced proficiency in coding, specifically including SQL for database management.
* Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change.
Clearance Requirements: * An active TS/SCI with the ability to obtain and maintain a Polygraph.
Physical Requirements: * Must be able to remain in a stationary position 50%.
* Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer.
* Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
* Must be able to exchange accurate information in these situations.

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