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Data Analytics Lead Jobs in Virginia (NOW HIRING)

BLN24

Data Lead

Mclean, VA · On-site

The Data Lead will join our project team to help our organization to drive data/analytics and IA technical proposals and captures. For our clients to design, implement, and govern organization's data ...

BLN24

Data Lead

Mclean, VA · On-site

The Data Lead will join our project team to help our organization to drive data/analytics and IA technical proposals and captures. For our clients to design, implement, and govern organization's data ...

Owens & Minor

Commercial Analytics Lead

Mechanicsville, VA · On-site

$120K - $140K/yr

... Lead is the trusted-data and insight engine of the commercial organization and serves as the owner ... This position will work upstream the ops-data analytics team, reporting to the VP of Sales ...

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All JobsData Analytics Lead JobsData Analytics Lead Jobs in Virginia

Data Analytics Lead information

See Virginia salary details

$60K

$122.8K

$173.5K

How much do data analytics lead jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data analytics lead in Virginia is $122,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $152,200.00 per year, depending on experience, location, and employer.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Chief Data Officer or Data Science Director, which require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can offer salaries exceeding $150,000 annually, depending on the industry and location.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic recommendations that require human judgment. Data analysts will increasingly work alongside AI, focusing on higher-level analysis, storytelling, and decision support skills.

What does a typical day look like for a Data Analytics Lead?

A typical day for a Data Analytics Lead often involves overseeing a team of analysts, scoping and prioritizing new data projects, and translating business questions into analytic solutions. You might spend part of your day working hands-on with data, reviewing code or dashboard outputs, and part collaborating closely with business stakeholders to clarify requirements and share actionable insights. Additionally, you'll provide mentorship to the analytics team and ensure data quality and consistency across projects. This balanced mix of technical, managerial, and collaborative work makes the role both challenging and rewarding.

What does a Data Analytics Lead do?

A Data Analytics Lead is responsible for overseeing data analysis activities, guiding a team of analysts, and translating business needs into data-driven insights. They develop data strategies, ensure data accuracy, and communicate findings to stakeholders to drive decision-making. This role involves using analytical tools, managing data infrastructure, and collaborating with various departments to optimize business performance. Strong leadership, technical expertise, and problem-solving skills are essential for success in this position.

What does a data analytics lead do?

A data analytics lead oversees the analysis of data to identify trends, generate insights, and support decision-making within an organization. They manage data teams, develop analytics strategies, and often use tools like SQL, Python, or Tableau to interpret complex datasets and communicate findings effectively.

What are the key skills and qualifications needed to thrive in the Data Analytics Lead position, and why are they important?

To thrive as a Data Analytics Lead, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and several years of analytics experience. Mastery of tools such as SQL, Python or R, BI platforms (like Tableau or Power BI), and often certifications in analytics or data science are highly valued. Strong leadership, project management, and communication skills help you effectively guide teams and translate data insights to stakeholders. These capabilities ensure you can drive data-driven decision-making and lead successful analytics initiatives in dynamic business environments.

Is 40 too late for data science?

For a Data Analytics Lead, age is not a barrier to entering or advancing in data science. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities based on their expertise and adaptability.
What are the most commonly searched types of Data Analytics Lead jobs in Virginia? The most popular types of Data Analytics Lead jobs in Virginia are:
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What cities in Virginia are hiring for Data Analytics Lead jobs? Cities in Virginia with the most Data Analytics Lead job openings:
Data Analytics Lead jobs near you
Infographic showing various Data Analytics Lead job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $122,786 per year, or $59 per hour.
Data Analytics Lead/Reporting SME

Data Analytics Lead/Reporting SME

Goldbelt, Inc.

Alexandria, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Overview
Please note that this position is contingent upon the successful award of a contract currently under bid.
Goldbelt Frontier is committed to providing support for a range of health technology management operations, projects, and services across the government and commercial industries. Frontier collaborates with clients and partners with other businesses to ensure that the right solution with the right people is delivered to meet the client's needs. Many senior project managers and business analysts are subject matter experts in their respective fields. Frontier understands how to support multiple stakeholders to aid in developing and implementing national policies, strategies, and doctrine.
Summary:
The Data Analytics Lead/Reporting SME is responsible for leading reporting and analytics operations, developing dashboards, and delivering actionable insights to support data-driven decision-making. This role ensures accurate tracking of performance metrics, including inventory accuracy and SLA compliance, while supporting system-of-record data integrity and operational performance across enterprise asset management systems.
Responsibilities
Essential Job Functions:
  • Develop and maintain:
    • Asset attestation dashboards (ServiceNow-based)
    • Analyze and report on ServiceNow workflow and ticket performance, including SLA compliance, timeliness, and process efficiency
    • Property Custodian reports (quarterly/semiannual)
  • Integrate data across:
    • Asset Management System
    • ServiceNow
    • Enterprise Data Warehouse
  • Lead data quality analysis, validation, and remediation activities to ensure system-of-record accuracy and data integrity across enterprise systems
  • Track and report KPIs including inventory accuracy, SLA compliance, and data completeness
  • Provide leadership and guidance in reporting and analytics activities to ensure consistent, accurate, and actionable outputs
  • Collaborate with stakeholders to translate reporting needs into actionable insights
  • Support continuous process improvement initiatives and compliance with USPTO asset management policies and federal property accountability standards

Qualifications
Necessary Skills and Knowledge:
  • Demonstrate excellent written and verbal communication in interpersonal exchanges
  • Highly organized with great attention to detail

Minimum Qualifications:
  • 5-8+ years of experience in data analytics and reporting in enterprise environments
  • Experience with Tableau, Power BI, or similar platforms
  • Experience integrating data across multiple enterprise systems

Preferred Qualifications:
  • SQL or advanced analytics tools
  • Federal reporting and ServiceNow analytics experience

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

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