Data And Analytics Jobs in Virginia
Data And Analytics jobs in Virginia concentrate heavily in federal contracting, defense intelligence, financial services, and technology consulting, with demand at every level from entry-level analyst to senior data scientist. The largest hiring metros are Northern Virginia, Richmond, and the Hampton Roads corridor, where employers like Booz Allen Hamilton, Leidos, and Capital One maintain significant analytics operations. The most sought-after specialties include machine learning engineering, business intelligence, and cloud data architecture. Find a role that fits below and apply directly.
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This position collaborates with cross-functional partners across product, technology, and business teams to transform complex questions into actionable insights. Areas of focus include digital experience analytics, customer feedback and sentiment analysis, digital usage forecasting, customer behavior modeling, feature adoption measurement, and operational optimization.
Benefits:
- Comprehensive Medical, Dental, and Vision Insurance
- Employer-Paid Life Insurance
- Employer-Paid Short-Term and Long-Term Disability Insurance
- 401(k)
- Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
- Educational Assistance
Salary: 100k-122k
**Hybrid in Vienna, VA**
**An In Person interview will be required for this role**
Click here to learn about BRMi's culture.
Click here to see BRMi’s Glassdoor reviews
- Analyze customer digital behavior using Python and SQL.
- Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience.
- Partner with business stakeholders and product teams to identify and solve digital experience challenges.
- Develop, automate, and maintain analytical solutions that provide actionable business insights.
- Apply analytical and statistical methods to understand customer behavior, evaluate digital experiences, identify emerging trends, and support data-driven business decisions.
- Apply text analytics, natural language processing (NLP), and AI-assisted techniques to summarize and classify customer feedback, identify sentiment and recurring themes, and surface customer friction points.
- Analyze app reviews, surveys, contact center interactions, social media, and other digital feedback sources to conduct Voice of the Customer (VoC) research.
- Translate analytical findings into clear recommendations, dashboards, presentations, and data stories for business and executive audiences.
- Perform other duties as assigned.
- Bachelor’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field.
- 1–5 years of experience in data science, business intelligence, analytics, statistical analysis, or related project work.
- Proficiency in SQL for data extraction and analysis and Python for data preparation, exploratory analysis, statistical analysis, and modeling; experience with R is beneficial.
- Experience applying analytical and statistical methods such as exploratory data analysis (EDA), hypothesis testing, regression, forecasting, segmentation and clustering, experimentation, NLP, or sentiment analysis to real-world business problems.
- Experience translating analytical findings into insights, recommendations, or measurable business outcomes for technical and non-technical stakeholders.
- Experience working in notebook-based analytical environments.
- Strong curiosity and ability to quickly learn new analytical methods and technologies.
- Excellent communication and data storytelling skills.
- Master’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field preferred.
- Experience analyzing customer behavior, digital products, customer feedback, or customer experience preferred.
- Experience presenting complex analyses to executive audiences and developing decision-support materials preferred.
- Knowledge of financial services or digital banking products preferred.
- Advanced SQL and Python skills preferred.
EOE/Minorities/Females/Vet/Disabled
This position collaborates with cross-functional partners across product, technology, and business teams to transform complex questions into actionable insights. Areas of focus include digital experience analytics, customer feedback and sentiment analysis, digital usage forecasting, customer behavior modeling, feature adoption measurement, and operational optimization.
Benefits:
- Comprehensive Medical, Dental, and Vision Insurance
- Employer-Paid Life Insurance
- Employer-Paid Short-Term and Long-Term Disability Insurance
- 401(k)
- Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
- Educational Assistance
Salary: 100k-122k
**Hybrid in Vienna, VA**
**An In Person interview will be required for this role**
Click here to learn about BRMi's culture.
Click here to see BRMi’s Glassdoor reviews
- Analyze customer digital behavior using Python and SQL.
- Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience.
- Partner with business stakeholders and product teams to identify and solve digital experience challenges.
- Develop, automate, and maintain analytical solutions that provide actionable business insights.
- Apply analytical and statistical methods to understand customer behavior, evaluate digital experiences, identify emerging trends, and support data-driven business decisions.
- Apply text analytics, natural language processing (NLP), and AI-assisted techniques to summarize and classify customer feedback, identify sentiment and recurring themes, and surface customer friction points.
- Analyze app reviews, surveys, contact center interactions, social media, and other digital feedback sources to conduct Voice of the Customer (VoC) research.
- Translate analytical findings into clear recommendations, dashboards, presentations, and data stories for business and executive audiences.
- Perform other duties as assigned.
- Bachelor’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field.
- 1–5 years of experience in data science, business intelligence, analytics, statistical analysis, or related project work.
- Proficiency in SQL for data extraction and analysis and Python for data preparation, exploratory analysis, statistical analysis, and modeling; experience with R is beneficial.
- Experience applying analytical and statistical methods such as exploratory data analysis (EDA), hypothesis testing, regression, forecasting, segmentation and clustering, experimentation, NLP, or sentiment analysis to real-world business problems.
- Experience translating analytical findings into insights, recommendations, or measurable business outcomes for technical and non-technical stakeholders.
- Experience working in notebook-based analytical environments.
- Strong curiosity and ability to quickly learn new analytical methods and technologies.
- Excellent communication and data storytelling skills.
- Master’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field preferred.
- Experience analyzing customer behavior, digital products, customer feedback, or customer experience preferred.
- Experience presenting complex analyses to executive audiences and developing decision-support materials preferred.
- Knowledge of financial services or digital banking products preferred.
- Advanced SQL and Python skills preferred.
EOE/Minorities/Females/Vet/Disabled
See All 84 Data And Analytics Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data And Analytics JobsData And Analytics Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Data And Analytics Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
- Consulting & Professional Services
- Accounting & Auditing
- Technology & Software
- Investment & Asset Management
What Virginia Employers Look For
The qualifications that appear most often in data and analytics jobs across Virginia.
- Bachelor's degree in computer science, statistics, mathematics, or a related quantitative field
- Proficiency in SQL and at least one analytical language such as Python or R
- Experience with data visualization platforms such as Tableau, Power BI, or Looker
- Familiarity with cloud data environments including AWS, Microsoft Azure, or Google Cloud
- Ability to obtain or maintain a federal security clearance for defense and government contractor roles
- Strong communication skills to translate complex analytical findings for non-technical stakeholders
Data And Analytics Jobs in Virginia: Frequently Asked Questions
How do you become a data and analytics in Virginia?
Data and analytics roles in Virginia do not require a state-issued license, but most employers expect a bachelor's degree in a quantitative field such as statistics, computer science, or information systems. Candidates pursuing federal contracting work, which is dominant in Northern Virginia, should prepare for security clearance requirements. Industry certifications from bodies like Microsoft, Google, or Databricks strengthen applications, and many Virginia employers value demonstrated experience through portfolio projects or internships.
Which companies hire data and analyticss in Virginia?
Employers hiring data and analyticss in Virginia right now include Capital One, Deloitte, and Information Technology Senior Management Forum, based on current listings on Migrate Mate as of September 2026. Virginia's concentration of federal contractors and financial institutions means demand is steady across both the public sector consulting market in Northern Virginia and the corporate analytics hubs anchored in Richmond.
Which Virginia cities have the most data and analytics jobs?
Arlington, McLean, and Reston account for the largest share of data and analytics openings in Virginia. Northern Virginia dominates due to the dense cluster of federal agencies and defense contractors in Tysons, Arlington, and Reston, while Richmond draws demand from Capital One, Dominion Energy, and major insurance firms, and Hampton Roads reflects government and military analytics work tied to its naval installations.
Are there remote data and analytics jobs in Virginia?
Yes, and more than most fields. About 70% of data and analytics openings tied to Virginia are remote or hybrid as of September 2026, reflecting the desk-based and software-driven nature of the work. Roles in business intelligence, reporting, and data engineering tend to offer the most remote flexibility, while positions requiring access to classified systems or on-site government facilities remain predominantly in-person.
How can I get hired as a data and analytics in Virginia with little or no experience?
The most realistic entry path is applying to junior analyst or data associate roles at Virginia-based federal contractors like SAIC, Peraton, or Maximus, which regularly onboard recent graduates into structured analyst development programs. Entry-level candidates can also move laterally from adjacent roles in database administration, reporting, or IT support. Building a portfolio of SQL and Python projects, earning a Google Data Analytics or Microsoft Power BI certificate, and targeting Richmond's financial services firms or university research centers in Charlottesville and Fairfax strengthens early applications considerably.
Where can I find and apply to data and analytics jobs in Virginia?
You can find and apply to data and analytics jobs in Virginia on Migrate Mate, which lists current Virginia openings across industries and experience levels. Find roles that fit your background and apply directly.
See All 84 Data And Analytics Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data And Analytics Jobs