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Data Analyst Mid Level Jobs in Reston, VA (NOW HIRING)

We are seeking an OSINT Analyst (Mid-Level) to support strategic assessments of foreign economic ... At least 8 years of experience applying data and trend analysis to support strategic problem ...

We are seeking an OSINT Analyst (Mid-Level) to support strategic assessments of foreign economic ... At least 8 years of experience applying data and trend analysis to support strategic problem ...

No Overtime Pay Basis located in the Mid Atlantic Region and listed under a Data Analyst Labor Category as a Engagement Team Mid Level Professional aligned under services related to NAICS: 541611 ...

We are seeking an OSINT Analyst (Mid-Level) to support strategic assessments of foreign economic ... At least 8 years of experience applying data and trend analysis to support strategic problem ...

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical support for the US Air Force Office of Special Investigations (AFOSI) in Quantico. This is a ...

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical support for the US Air Force Office of Special Investigations (AFOSI) in Quantico. This is a ...

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Data Analyst Mid Level information

See Reston, VA salary details

$35.4K

$86K

$141.5K

How much do data analyst mid level jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data analyst mid level in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a mid-level data analyst, starting a career in data science at age 40 is feasible, especially if you have relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully transition into data roles later in life by gaining certifications, building portfolios, and leveraging prior experience. Age is less a barrier than skills, continuous learning, and practical experience in the field.

What is a mid-level analyst?

A mid-level data analyst is a professional with several years of experience who analyzes data to identify trends, create reports, and support decision-making. They typically have proficiency in tools like Excel, SQL, and data visualization software, and may work under the supervision of senior analysts or managers.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a mid-level data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are less likely to be fully replaced by AI in the near term.

What jobs make $1,000,000 a year?

In the field of data analysis, earning $1,000,000 annually is uncommon and typically requires senior roles such as Chief Data Officer or data-focused executive positions, often combined with bonuses, stock options, or profit sharing. High earnings in this field usually involve extensive experience, advanced skills in analytics tools, and leadership responsibilities within large organizations or consulting firms.

What is the difference between Data Analyst Mid Level vs Data Scientist?

AspectData Analyst Mid LevelData Scientist
Required CredentialsBachelor's degree in data-related field; some certifications (e.g., Microsoft, Tableau)Bachelor's or master's in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness, finance, marketing teams; focus on reporting and data visualizationResearch and development teams; focus on predictive modeling and complex algorithms
Employer & Industry UsageCommon across industries for data reporting rolesMore specialized, often in tech, finance, or healthcare sectors

While both roles involve working with data, Data Analyst Mid Level primarily focuses on analyzing and visualizing data to support business decisions. Data Scientists handle more complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and education.

What are the most commonly searched types of Data Analyst jobs in Reston, VA? The most popular types of Data Analyst jobs in Reston, VA are:
What are popular job titles related to Data Analyst Mid Level jobs in Reston, VA? For Data Analyst Mid Level jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Data Analyst Mid Level jobs? Cities near Reston, VA with the most Data Analyst Mid Level job openings:

Data Analyst Mid - GEOINT Technical SME

Tulk LLC

Fort Belvoir, VA โ€ข On-site

$121K - $155K/yr

Full-time

Posted 21 days ago


Job description

Data Analyst - GEOINT Technical SME - Mid

TULK is a leading boutique consulting firm providing technology and management consulting services to the U.S. Federal Government. Our expert team supports Defense, Intelligence Community, and National Security customers by helping them acquire, manage, analyze, and improve mission-focused technology, data, and business capabilities.

We are seeking a Data Analyst - GEOINT Technical SME - Mid to support geospatial intelligence, business analytics, data visualization, and mission data management activities. This role is ideal for a cleared data professional with experience applying data analytics, GEOINT tools, scripting, and visualization techniques to support decision-making, improve business processes, and deliver actionable insights to mission stakeholders.

About the Work

The Data Analyst - GEOINT Technical SME - Mid will support data analysis, model development, dashboarding, metrics reporting, and data-driven business process improvement. The role involves working with stakeholders, project managers, and subject matter experts to clarify business needs, analyze data from multiple sources, develop visual products, support analytic tools, and help improve organizational performance.

This position requires the ability to transform quantitative and qualitative data into clear, useful, and mission-relevant insights. The candidate should be comfortable working in classified environments, supporting Intelligence Community stakeholders, and using data tools to improve understanding of mission, operational, business, and technical issues.

Your Duties

  • Develop data analytics, dashboards, reports, charts, graphs, and other visualizations using industry-standard data analysis and data science practices.
  • Transform complex data sets from multiple sources into understandable visual products that support leadership, mission, and business decision-making.
  • Collaborate with project requestors, stakeholders, subject matter experts, and project managers to refine requirements and clarify business objectives.
  • Use data analytics to identify issues, draw logical conclusions, form business insights, and recommend ways to improve organizational performance and efficiency.
  • Support the development, integration, maintenance, and sustainment of analytic models, visualizations, and tools.
  • Support risk scoring, anomaly detection, performance monitoring, metrics tracking, and related data analysis implementations as required.
  • Capture, maintain, and analyze statistics, timelines, system performance data, and other operational metrics.
  • Prepare reports, briefings, dashboards, and visual summaries for internal teams, technical stakeholders, and leadership audiences.
  • Support policy, process, and business operations activities by contributing data analysis, technical editing, documentation, and reporting support.
  • Use scripting and automation techniques to manipulate, analyze, clean, transform, or visualize data as needed.
  • Support geospatial data analysis and related GEOINT mission activities using applicable tools, data sets, and technical methods.
  • Work independently and collaboratively in a dynamic environment with changing priorities and short suspense timelines.

Required Skills and Experience

  • Top Secret / SCI security clearance
  • U.S. Citizenship
  • Bachelorโ€™s degree in Data Science, Statistics, Business, Geography, Geospatial Information Systems, Computer Science, Information Systems, or a related field, or equivalent relevant experience.
  • 6 or more years of relevant experience developing data analytics, visualizations, analytic models, dashboards, or data-driven business products.
  • Demonstrated experience using data to form business insights, draw logical conclusions, and support performance-improving strategies.
  • Demonstrated experience collaborating with stakeholders to clarify project needs, business objectives, data requirements, and analytical questions.
  • Experience creating and editing visual content such as charts, graphs, dashboards, and briefing materials to represent data clearly.
  • At least 12 months of demonstrated experience using one or more geospatial or GEOINT-related tools such as ArcGIS, ArcView, RemoteView, ArcIMS, ERDAS Imagine, or similar geospatial analysis tools.
  • Demonstrated coding or scripting experience using tools such as Python, Java, or similar languages to support data manipulation, analysis, automation, or visualization.
  • Demonstrated ability to use SharePoint, Tableau, Redmine, databases, or other systems to manipulate data, manage information, and build data visualizations.
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented mission environment.
  • Proficiency with Microsoft Office tools, including Excel and PowerPoint.

Desired Skills and Experience

  • Experience supporting GEOINT, Intelligence Community, Department of Defense, or national security missions.
  • Experience supporting insider threat, risk scoring, anomaly detection, or similar security-focused analytics programs.
  • Experience with policy development, process improvement, business operations, or performance management initiatives.
  • Experience with GEOINT analysis software, NGA mission applications, geospatial data sets, or mission reporting tools.
  • Experience using Tableau, Python, SQL, GIS tools, SharePoint, or other business intelligence and data visualization platforms.
  • Experience preparing executive-level briefings, technical reports, dashboards, and visual summaries for senior stakeholders.
  • Experience with data quality analysis, data cleansing, data transformation, and data integration across multiple sources.

Work Environment

  • Work is performed in support of Federal, Defense, Intelligence Community, and national security missions.
  • Work may be performed in classified environments and requires compliance with applicable security, information handling, and customer site requirements.
  • Normal work hours are generally Monday through Friday during standard business hours, unless otherwise required by mission needs.