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Manufacturing Data Analyst Remote Jobs in Reston, VA

Horizon Industries

Business Data Analyst

Vienna, VA · On-site +1

Remote,USA Clearance: This position requires an Active Secret Clearance Type : Proposal --- Future opportunity Who we are: Horizon Industries Limited (Horizon) is a dynamic IT and Management ...

Demand.com

Marketing Analyst (Remote)

Washington, DC · Remote

This position is fully remote, and shifts are available during EST through PST hours. The selected ... Analyzing data using spreadsheets to determine campaign criteria, deliverable volumes, and pricing

ESM

Business Data Analyst

Vienna, VA · Remote

We are hiring a Business Data Analyst for an exciting remote opportunity. and Responsibilities Provides comprehensive, matrixed analytical support across all portfolio programs by delivering in-depth ...

TSTC

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

TSTC

Junior Data Analyst

Arlington, VA · On-site +1

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

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Manufacturing Data Analyst Remote information

See Reston, VA salary details

$35.4K

$86K

$141.5K

How much do manufacturing data analyst remote jobs pay per year?

As of May 30, 2026, the average yearly pay for manufacturing data analyst remote 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.

What are the key skills and qualifications needed to thrive as a Manufacturing Data Analyst (Remote), and why are they important?

To thrive as a Manufacturing Data Analyst (Remote), you need strong analytical skills, proficiency in data modeling, and a relevant degree in engineering, mathematics, or a related field. Familiarity with data analytics tools such as SQL, Python, Power BI, and ERP/MES systems, as well as certifications like Six Sigma, is highly beneficial. Excellent problem-solving abilities, communication skills, and attention to detail help you interpret data and collaborate across teams. These skills are crucial for driving data-driven decision-making, process improvements, and operational efficiency in manufacturing environments.

How does a Manufacturing Data Analyst collaborate with production teams in a remote setting?

As a remote Manufacturing Data Analyst, you will regularly interact with production managers, engineers, and quality assurance teams through virtual meetings and digital collaboration tools. Your main responsibilities include collecting and analyzing production data, identifying trends, and providing actionable insights to optimize manufacturing processes. Effective communication skills are essential, as you’ll often present your findings and recommendations remotely, ensuring all stakeholders are aligned despite not being on-site. Regular updates and digital dashboards help maintain transparency and foster strong team collaboration.

What is a Manufacturing Data Analyst (Remote)?

A Manufacturing Data Analyst (Remote) is a professional who analyzes production data to help manufacturers optimize efficiency, reduce waste, and improve product quality. Working remotely, they collect, process, and interpret data from manufacturing processes using analytical tools and software. They collaborate with engineering, operations, and management teams to identify trends, troubleshoot issues, and recommend data-driven improvements. Their insights support strategic decision-making and help companies maintain competitive advantages in their production operations.

What is the difference between Manufacturing Data Analyst Remote vs Manufacturing Data Analyst in-office?

AspectManufacturing Data Analyst RemoteManufacturing Data Analyst In-office
Work EnvironmentRemote, home-based setup with digital collaboration toolsOn-site manufacturing facilities or office locations
Required CredentialsBachelor's in Data Analysis, Manufacturing, or related field; proficiency in data toolsSame as remote, often with additional industry-specific certifications
Employer & Industry UsageManufacturing companies adopting remote data analysis practicesTraditional manufacturing settings with on-site data analysis
Search & Comparison IntentPeople looking for remote manufacturing data analysis rolesIndividuals seeking in-office manufacturing data analyst jobs

The main difference between Manufacturing Data Analyst Remote and in-office roles lies in the work environment. Remote positions allow analysts to work from home using digital tools, while in-office roles require presence at manufacturing sites or offices. Credentials and industry usage are similar, but the choice depends on your preference for remote work versus on-site presence.

What are popular job titles related to Manufacturing Data Analyst Remote jobs in Reston, VA? For Manufacturing Data Analyst Remote jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Manufacturing Data Analyst Remote jobs in Reston, VA look for? The top searched job categories for Manufacturing Data Analyst Remote jobs in Reston, VA are:
What cities near Reston, VA are hiring for Manufacturing Data Analyst Remote jobs? Cities near Reston, VA with the most Manufacturing Data Analyst Remote job openings:
Manufacturing Data Analyst Remote jobs near you

Data Scientists and Data Analysts - Future Consideration

Analytic Services Inc

Arlington, VA • On-site, Remote

Other

Posted 7 days ago

Job description

Interested in joining ANSER as a Data Scientist or Data Analyst, but don't see a current opening that matches your experience?

We'd still love to connect with you! Please send us your resume, and we'll keep your information on file for future opportunities that align with your background and skills.

As a Data Scientist or Data Analyst at ANSER, you'll work alongside multidisciplinary teams to analyze complex datasets, generate actionable insights, and support mission-critical decisions for government clients, internal stakeholders, and external partners.

Most roles are based in the greater Northern Virginia and Washington, D.C. area and require on-site work five days a week. Some positions may offer hybrid or remote options, but this is determined case by case and is not typical for most roles.

General Day-to-Day Responsibilities:

  • Collect, clean, and analyze large datasets to support program objectives and strategic decision-making.
  • Design and build data models, visualizations, and dashboards to communicate insights clearly to technical and non-technical audiences.
  • Conduct statistical analyses, forecasting, and predictive modeling to identify trends and inform policy or operational recommendations.
  • Collaborate with subject matter experts (SMEs), engineers, and analysts to understand data needs and develop tailored solutions.
  • Present findings through briefings, technical reports, or presentations to leadership and government stakeholders.
  • Ensure the accuracy, integrity, and security of data throughout the analysis process.
  • Stay current with industry trends and tools in data science, analytics, and emerging technologies.
  • Provide data subject matter expertise to senior stakeholders on data governance and policy related to data usage, technology and integration.

General Required Qualifications:

  • Minimum of bachelor's degree in data science, Statistics, Computer Science, Mathematics, or a related field.  Master's degree is required for senior level roles.
  • 3+ years of experience in data analysis or data science, ideally in support of government, defense, or intelligence programs.
  • Proficiency in data analysis and visualization tools such as Python, R, SQL, Tableau, or Power BI.
  • Experience working with large and complex datasets from multiple sources.
  • Strong problem-solving skills and the ability to communicate complex information clearly and concisely.
  • Knowledge of statistical methods, machine learning techniques, or data modeling frameworks.
  • Ability to manage multiple priorities in a fast-paced, mission-focused environment.
  • Active security clearance or the ability to obtain one may be required depending on the position.
  • Prior experience and knowledge of defense agencies and their technology policies.

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