Data Analytics Lead Jobs in Virginia
Data Analytics Lead jobs in Virginia are in strong demand, concentrated in defense contracting, federal consulting, financial services, and technology, with openings ranging from senior analyst roles stepping into lead responsibilities through experienced team leads managing enterprise-scale programs. The heaviest hiring activity is in Northern Virginia, Richmond, and the Hampton Roads corridor, where employers like Booz Allen Hamilton, Leidos, and Capital One consistently bring on data analytics leads. The most sought-after specialties in Virginia right now are cloud data infrastructure, business intelligence governance, and predictive modeling for government and financial clients. Find a role that fits below and apply directly.
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Showing 5 of 125+ Data Analytics Lead jobs
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 125+ Data Analytics Lead Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data Analytics Lead JobsData Analytics Lead Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Data Analytics Lead Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Capital One22
- Information Technology Senior Management Forum10
- TRAX International7
- Deloitte6
- Praescient Analytics5
Top Industries Hiring
- Banking & Financial Services
- Consulting & Professional Services
- Fintech
- Technology & Software
- Accounting & Auditing
What Virginia Employers Look For
The qualifications that appear most often in data analytics lead jobs across Virginia.
- Bachelor's degree in data science, statistics, computer science, or a related analytical field
- Five or more years of experience in data analytics with at least two years in a lead or supervisory capacity
- Proficiency in SQL, Python, or R alongside a major BI platform such as Tableau or Power BI
- Experience with cloud data platforms including AWS, Azure, or Google Cloud in an enterprise environment
- Strong communication skills with a demonstrated ability to present analytical findings to non-technical stakeholders
- Familiarity with data governance frameworks, data quality standards, and compliance requirements relevant to government or regulated industries
Data Analytics Lead Jobs in Virginia: Frequently Asked Questions
How do you become a data analytics lead in Virginia?
Virginia does not require a state-issued license to work as a data analytics lead, so the path runs through education and demonstrated experience. Most Virginia employers expect a bachelor's degree in a quantitative discipline and several years of hands-on analytics work before moving into a lead role. For roles tied to federal clients in Northern Virginia, a security clearance is frequently a prerequisite, and earning one early through a cleared contractor position is a practical step.
How much do data analytics leads make in Virginia?
Data analytics leads in Virginia earn a median of about $126,430 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $76,420 for the lowest 10% to over $207,890 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics leads in Virginia?
Employers hiring data analytics leads in Virginia right now include Capital One, Information Technology Senior Management Forum, and TRAX International, based on current listings on Migrate Mate as of September 2026. Virginia's concentration of defense contractors, federal agencies, and large financial institutions means demand for analytics leads with both technical depth and stakeholder management experience remains consistent throughout the year.
Which Virginia cities have the most data analytics lead jobs?
McLean, Arlington, and Richmond account for the largest share of data analytics lead openings in Virginia. Northern Virginia drives the most volume because of its dense cluster of federal agencies, defense contractors, and technology firms, while Richmond draws steady demand from financial services companies and state government, and Hampton Roads reflects hiring tied to military and logistics operations in that corridor.
Are there remote data analytics lead jobs in Virginia?
Yes, and more than most fields. About 64% of data analytics lead openings tied to Virginia are remote or hybrid as of September 2026, reflecting how well the core responsibilities of this role translate to distributed work. Strategic planning, dashboard development, and stakeholder reporting are the functions most commonly performed fully remote, while team oversight and cross-functional alignment tend to require at least occasional on-site presence.
How can I get hired as a data analytics lead in Virginia with little or no experience?
The most realistic entry path is landing a data analyst role at a large Virginia employer and building toward lead responsibilities from within. Defense and consulting firms such as Booz Allen Hamilton and SAIC regularly hire junior analysts and offer structured development programs that move high performers into senior and lead tracks. Building a portfolio of independent projects in SQL and Python, earning a recognized certification like the Google Data Analytics Certificate, and targeting analyst roles at Virginia state agencies, which often post entry-level openings, will strengthen your candidacy before you pursue lead titles.
Where can I find and apply to data analytics lead jobs in Virginia?
You can find and apply to data analytics lead jobs in Virginia on Migrate Mate, which lists current Virginia openings across industries and experience levels. Find the roles that fit your background and apply directly from the listing.
See All 125+ Data Analytics Lead Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data Analytics Lead Jobs