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Analyst Data Analysis Jobs in Virginia (NOW HIRING)

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

Overview Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to ... SPA has an immediate need for a Data Analyst.#FC #Dice Responsibilities The Data Analyst will ...

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

Overview Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to ... SPA has an immediate need for a Data Analyst.#FC #Dice Responsibilities The Data Analyst will ...

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Showing results 21-40

Analyst Data Analysis information

What are the key skills and qualifications needed to thrive as an analyst data analysis?

To thrive as an Analyst in Data Analysis, you need strong analytical skills, a solid foundation in statistics, and proficiency with data querying languages, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI, as well as certifications in analytics, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful information from complex datasets, drive informed decision-making, and add value to their organizations.

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

AspectAnalyst Data AnalysisData Scientist
Required CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, modeling, advanced analytics, machine learning projects
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, finance, research institutions, startups

While both roles analyze data, Analyst Data Analysis focuses on interpreting data for business insights using tools like Excel and SQL. Data Scientists build predictive models and perform advanced analytics using programming languages like Python or R. The roles differ mainly in complexity, tools used, and scope of analysis, but they often collaborate within data teams.

What is an analyst data analysis?

Analyst Data Analysis roles involve collecting, processing, and interpreting large sets of data to help organizations make informed business decisions. These professionals use statistical techniques and data visualization tools to identify trends, patterns, and insights from raw data. They often collaborate with various departments to provide actionable recommendations and support strategic planning. Strong analytical skills, attention to detail, and proficiency with data analysis software are essential for this role.

How does an analyst data analysis typically collaborate with other departments within a company?

Analyst Data Analysis professionals frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product management to gather requirements and deliver actionable insights. They participate in meetings to discuss data needs, share analytical findings, and help stakeholders interpret results for decision-making. Effective communication and the ability to translate complex data into understandable terms are crucial, as these analysts often serve as a bridge between technical teams and business units. Collaborating on projects and providing data-driven recommendations is a central part of their daily responsibilities.

What are popular job titles related to Analyst Data Analysis jobs in Virginia?

For Analyst Data Analysis jobs in Virginia, the most frequently searched job titles are:

Infographic showing various Analyst Data Analysis job openings in Virginia as of August 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 100% In-person job distribution.

Data Analysis Instructor

Chenega Enterprise Systems & Solutions

Fredericksburg, VA • On-site

$105K/yr

Full-time

Re-posted 17 days ago


Job description

Summary

Come join a company that strives for Extraordinary People and Exceptional PerformanceChenega Enterprise Systems & Solutions, LLC, a Chenega Professional Services’ company, is looking for a Data Analysis Instructor with specialized experience to provide training services to the Targeting and Data Exploitation Unit (TDEX), one of three units assigned to the FBI’s Directorate of Intelligence (DI), Intelligence Workforce Development Section (IWDS). In this role, the Data Analysis Instructor will assist in the delivery of FBI training and, participate in analysis, design, development, evaluation, and life-cycle management of FBI training. Most instruction for the Data Exploitation courses will take place at the FBI’s Domestic HUMINT Training Center in Fredericksburg, Virginia, and in FBI locations throughout the United States.

Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, and innovative solutions for our clients.


Responsibilities
  • Deliver and facilitate existing training on data exploitation and analysis to multiple integrated FBI audiences. This includes virtual delivery of Basic Data Exploitation (BDEX), Intermediate Data Exploitation (IDEX), and Advanced Data Exploitation (ADEX). In-person delivery will focus on Power Query courses.
  • Assist in the delivery of HUMINT targeting courses.
  • Participate in course debrief encompassing recommendations, feedback, and student evaluations.
  • Participate in curriculum design, executing changes in course materials due to internal FBI policy or program revisions and implementing regulatory changes which mandate major course modifications.
  • Conduct research and interact with other U.S. Intelligence Community members who conduct data exploitation and analysis.
  • Participation and contribution to continuous course maintenance and improvement.
  • Other duties as assigned

Qualifications
  • Must hold an active Top-Secret clearance with SCI eligibility.
  • Expertise with Microsoft Excel.
  • Expertise in using Power Query (both Excel and Microsoft Power Business Intelligence) to transform data for analysis.
  • Expertise in using PBI to create visualizations that preset analytical findings.
  • Technical aptitude to learn new approaches to data exploitation.
  • Ability to develop understandable technical training from basic to advanced levels.
  • Ability to deliver technical training in a clear, concise, and passionate manner to students of varying backgrounds and skill levels.
  • Experience in mentoring students to provide in-class support.
  • Successfully pass background and drug screening
  • Microsoft Excel or Power BI certifications.
  • 10 years of experience in the subject matter. Experience may be demonstrated through previously held job descriptions outlining specific expertise and by completion of relevant specialized training.
  • Data exploitation courses require advanced data exploitation experience as an intelligence analyst or equivalent (e.g., Data Analyst, Forensic Accountant, FBI Staff Operations Specialist, or equivalent). Examples of relevant training include Intermediate Data Exploitation (IDEX), Advanced Microsoft Excel training, or certifications in MS Excel or Power BI.

Preferred Qualifications:

  • List of preferred qualifications which include education/experience/certifications/clearances (quantifiable)

Estimated Salary/Wage
USD $105,000.00/Yr. Up to USD $125,000.00/Yr.