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Data Analyst Data Science Jobs in Virginia (NOW HIRING)

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Our world class data scientists wring the value from data, and Agile helps us deliver solutions ... The Analysts will be selected primarily for technical and data acumen and the ability to rapidly ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical ...

ManTech

Data Analyst

Ashburn, VA · On-site

Coursework related and/or prior internship related to data science/analytics * Working knowledge of statistical modeling * Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal ...

Analytic Services Inc

Data Analyst

Alexandria, VA

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Bachelor's degree in a technical discipline such as Computer Science, Information Systems ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic ...

Boeing

Data Integration Analyst

Arlington, VA

The analyst will collaborate closely with data SMEs, software developers, data scientists, and the Lead Data Systems Engineer to procure, assess, and operationalize data sets while ensuring ...

New

Boeing

Data Integration Analyst

Arlington, VA

The analyst will collaborate closely with data SMEs, software developers, data scientists, and the Lead Data Systems Engineer to procure, assess, and operationalize data sets while ensuring ...

New

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field. * 1-3 years of data science ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field. * 1-3 years of data science ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Virginia

Data Analyst Data Science information

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$14

$37

$64

How much do data analyst data science jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for data analyst data science in Virginia is $37.64, according to ZipRecruiter salary data. Most workers in this role earn between $27.16 and $45.62 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Virginia? For Data Analyst Data Science jobs in Virginia, the most frequently searched job titles are:
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Data Analyst Data Science jobs near you
Data Analyst

Data Analyst

Redhorse Corporation

Arlington, VA • On-site, Remote

Full-time

Posted 4 days ago

Job description

Data Analyst
About the Organization
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.

Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional team player to serve as a Data Analyst for the Conditions Based Maintenance (CBM+) Program. Data Analysts will serve primarily as the operators of the PANDA platform’s Data Cleaning, Analyzer and LRSF Applications. The Analysts will be selected primarily for technical and data acumen and the ability to rapidly learn a new software suite. This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.
Essential Functions:
  • Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
    • sustain existing WUC predictive failure models
    • support selection and analysis of new WUC predictive failure models
    • field newly approved WUC predictive failure models
    • generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
    • generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
    • participate in user and stakeholder engagements and technical discussions
    • gather and provide feedback on best practices and recommended enhancements to the platform
    • document work performed in technical reports
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
  • Associate degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience. (We prefer Analysts with a technical background and an undergraduate degree but believe that practical technical experience is an acceptable substitute.)
  • Understanding of Weibull distribution and use for modeling part failures
  • Proven ability to drive key client communication and expectations
  • Ability to understand business functionality
  • Excellent communication and interpersonal skills
  • Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
  • Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
  • Active Secret clearance
  • Experience as an Aircraft Maintenance Technician in the US Air Force or elsewhere in the DoD Is highly desired
  • Experience with Predictive Maintenance / Logistics
  • Experience with sensor-based failure predictions and modeling
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled

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