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

Data Modeler Mid-Level 112-012

Chantilly, VA ยท On-site

$56 - $72.75/hr

Mid-level Data Modelers conduct data modeling activities in support of business stakeholders, analysts, and workforce to define and analyze system and data requirements to support NGA business ...

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 ...

Mid-Level Data Scientist

Springfield, VA ยท On-site

$73K - $132K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... This team member will collect, process, and perform data analysis and deliver data driven solutions ...

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... This team member will collect, process, and perform data analysis and deliver data driven solutions ...

Intelligence Analyst- Mid

Fort Belvoir, VA ยท On-site

$105K - $110K/yr

Celestar, a B&A Company, is actively seeking an Intelligence Analyst - Mid Level supportingthe mission of the Security Vetting Enterprises. CLEARANCE REQUIREMENT: Top Secret with SCI eligibility ...

Mid-Level Analyst Quantico, VA Top Secret/SCI Clearance Required Join the EnProVera team as a ... Gather relevant information from internal and external data systems to support case initiation.

Apply Early

Our client is recruiting Mid-Level Technical Analyst supporting the Office of the Undersecretary of ... Data Products and Process Improvement, Graphics Support, Maintenance of Historical Program Data;

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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 Modeler Mid-Level 112-012

Data Modeler Mid-Level 112-012

IC-CAP LLC

Chantilly, VA โ€ข On-site

$56 - $72.75/hr

Full-time

Posted 20 days ago


Job description

Data Modeler (Mid-Level):
Overall Assignment Description:
Mid-level Data Modelers conduct data modeling activities in support of business stakeholders, analysts, and workforce to define and analyze system and data requirements to support NGA business operation and related processes to ensure timely and accurate execution of corporate mission and functions.
Duties include:
  • Assists Government with the development and use of complex models, tools and algorithms to identify trends and patterns in corporate data.
  • Work with the Business Architect to model the business processes for re-engineering, optimization, or integration of technical solutions (i.e. automation, advanced learning/machine learning, etc.)
  • Supports developing models of NGAs architectures, requirements, and systems performance and considers NGA strategies and overall vision for the future of corporate mission and functions.
  • Supports creating models to support analysis of alternatives, performance trades, design trades and new capabilities and develops alternatives for deployment based on MS&A results in existing NSG architectures and cloud environments.

Skills and Experience:
Required:
  • Mid-level working experience in government or industry modeling large complex System of Systems or Service Oriented Architecture/Cloud environments.

Desired:
  • Demonstrated experience with Model Based Systems Engineering, processes, tools and languages.
  • Mid-level working experience in Operations Research.

Education and Experience:
  • 6+ to 12 years' experience
  • Bachelors degree or higher in Engineering, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Mid-level work experience as an Data Modeler.

Security Clearance:
  • DoD Approved Clearance and Poly