1

Lead Data Analyst Jobs in Virginia (NOW HIRING)

We lead the U.S. Army Security Assistance Enterprise (ASAE), providing leadership, resource ... Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ...

We lead the U.S. Army Security Assistance Enterprise (ASAE), providing leadership, resource ... Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ...

You will lead architecture efforts spanning data platforms, pipelines, governance frameworks, analytics ecosystems, AI/ML integration, and large-scale distributed processing environments. You will ...

next page

Showing results 1-20

Lead Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do lead data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for lead data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

How does a Lead Data Analyst typically collaborate with cross-functional teams to drive data-driven decision making?

As a Lead Data Analyst, you'll frequently work alongside stakeholders from product, engineering, marketing, and operations to identify key business questions and translate them into actionable insights. This role often involves leading data projects, coordinating with data engineers for reliable data pipelines, and presenting findings to both technical and non-technical audiences. Strong communication and project management skills are essential, as you'll bridge gaps between data and business objectives, ensuring that analytical strategies effectively support organizational goals.

What are Lead Data Analysts?

Lead Data Analysts are experienced professionals who oversee data analysis projects and teams. They are responsible for collecting, interpreting, and presenting complex data to support business decision-making. In addition to performing advanced data analysis, they mentor junior analysts, collaborate with other departments, and ensure data quality and integrity. Their role often includes setting analysis methodologies, developing dashboards or reports, and providing actionable insights to stakeholders. Lead Data Analysts play a key role in driving data-driven strategies within an organization.

What are the key skills and qualifications needed to thrive as a Lead Data Analyst, and why are they important?

To thrive as a Lead Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid understanding of data modeling, typically supported by a degree in mathematics, statistics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with experience in advanced analytics or certification in related technologies, is often required. Outstanding leadership, problem-solving abilities, and effective communication skills help you translate complex data insights to diverse stakeholders and guide analytical teams. These competencies are crucial for driving data-driven decision-making and ensuring high-impact business outcomes.

What is the difference between Lead Data Analyst vs Data Scientist?

AspectLead Data AnalystData Scientist
Required CredentialsBachelor's degree in Data Analytics, Statistics, or related field; often certifications in data toolsBachelor's or Master's in Data Science, Computer Science, or related; certifications in machine learning or data modeling
Work EnvironmentBusiness teams, analytics departments, reporting focusResearch, modeling, algorithm development, often in R&D or tech firms
Employer & Industry UsageFinance, healthcare, retail, and corporate analytics teamsTech companies, research institutions, startups, and industries requiring advanced modeling

While both roles analyze data, Lead Data Analysts focus on interpreting data to inform business decisions, whereas Data Scientists develop models and algorithms to extract deeper insights. The roles often overlap but differ mainly in technical complexity and scope.

Infographic showing various Lead Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.
Lead Data Scientist/Data Analyst

Lead Data Scientist/Data Analyst

Kalman & Company, Inc.

Stafford, VA • On-site

Full-time

Posted 3 days ago


Job description

Job Summary:
Kalman & Company is seeking a highly motivated, performance-driven individual with strong data analysis experience to work closely with our Department of Defense (DoD) client in the Northern VA area. The role involves leading data analytics efforts, developing business intelligence solutions, and collaborating with stakeholders to provide data-driven insights for impactful decision-making.
Responsibilities:
• Architect, design, code, and implement next-generation data analytics using best practices in the latest technologies.
• Develop solutions to enable metadata/rules engine-driven data analytics application leveraging open source and/or cloud native components.
• Develop solutions in a highly collaborative and agile environment.
• Lead efforts in collecting, normalizing, and analyzing complex data.
• Work directly with stakeholders to understand their needs and requirements and apply these to the build/test phase of reports and dashboards.
• Identify opportunities to streamline reporting to make processes more automated and less manual.
• Develop and manage business intelligence solutions for the organization.
• Utilize data visualization tools like Power BI to deliver solutions sourcing a variety of data.
• Build data visualizations including dashboards and reports.
• Document data profiling and quality assurance results, data dictionaries and analytical findings.
• Use data to create predictive models and trend analysis.
• Collaborate with colleagues for the purpose of collecting and structuring data.
• Collect, audit, compile, and validate data from multiple sources.
• Interpret data, analyze results using statistical techniques or relational databases and produce ongoing as-needed reports to meet client and/or business needs.
• Communicate and work with diverse organizations and representatives for data collection, analysis, and results presentation.
• Provide thought leadership clearly demonstrating an understanding of the customer mission and innovative ideas to address business challenges of the customer.
• Work autonomously and as part of a team to meet organizational and project goals.
• Lead in the preparation of briefing materials and other communications packages presenting the results of analysis.
• Support on-site delivery in the Quantico and Stafford areas.
Qualifications:
Required:
• US Citizenship is required.
• Active Secret Security Clearance or ability to obtain a Secret Security Clearance.
• Proficiency in Microsoft Excel and experience working with large data sets.
• Advanced Microsoft Power BI skills, to include demonstrated development of models and data architectures using DAX and Power Query editor.
• Excellent data gathering and analytical skills.
• Excellent oral and written communication skills.
• Have a strong understanding of DoD systems and processes.
• Ability to lead detail-oriented tasks and multi-task under minimal supervision.
• Bachelor’s degree in Mathematics, Statistics, Computer Science, Physical Science, Engineering or related field
• 5+ years of experience supporting solutions implemented in DoD.
• Experience in statistical modeling.
• Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL.
• Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models.
Preferred:
• Experience with cloud computing/storage, data lakes/warehouses.
• Experience with Spark and ML applications.
• Experience with Scala, Java
• Experience with Robotic Process Automation (RPA) (e.g., UiPath)
• Experience with Natural Language Processing (NLP)
• Experience in Databricks
Company:
Kalman & Company, Inc. (Kalman), headquartered in Virginia Beach, VA, was founded by Barbara and Walter Kalman in 1986. Founded in 1987, the company is headquartered in Virginia Beach, USA, with a team of 201-500 employees. The company is currently Growth Stage.