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Remote Data Analyst 1099 Jobs in Virginia (NOW HIRING)

Data Analyst Department: Data Employment Type: Full Time Location ... Remote Description At Nüvitek, customer success is our Ethos; together, we drive transformational ...

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Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

Data Analyst

Richmond, VA · On-site +1

$75K - $85K/yr

Data Analyst Apply now Job no: 5107843 Work type: Full-Time (Salaried) Location: Richmond (City), Virginia Categories: Data Analysis Title: Data Analyst State Role Title: Hiring Range: $75,000 to $85 ...

POSITION TITLE Principal Data Analyst POSITION LOCATION This position is available to Virginia ... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ...

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

This role will be 100% remote for the foreseeable future. In this role, you will manage and analyze quantitative epidemiological, clinical and/or behavioral data and provide output in the format ...

Koniag IT Systems, LLC, a Koniag Government Services company , is seeking a Data & Metrics Analyst with a Secret security clearance to support KITS and our government customer. The position is remote.

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Remote Data Analyst 1099 information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst 1099, and why are they important?

To thrive as a Remote Data Analyst 1099, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages (like Python or R), and database systems (like SQL) is typically essential. Excellent communication, time management, and self-motivation are vital soft skills, especially when working independently. These abilities are crucial for delivering accurate, insightful analyses and meeting client expectations in a remote, contract-based environment.

What is the difference between Remote Data Analyst 1099 vs Remote Data Analyst?

AspectRemote Data Analyst 1099Remote Data Analyst
Employment TypeIndependent contractor (1099)W-2 employee
Tax & BenefitsResponsible for own taxes, no employer benefitsTaxes withheld by employer, benefits provided
Work EnvironmentSelf-managed, flexible hoursCompany-managed, standard hours
CredentialsTypically requires relevant data analysis certifications or degrees

Remote Data Analyst 1099 roles offer flexibility and independence, suitable for those who prefer self-employment. In contrast, Remote Data Analysts as W-2 employees receive benefits and have a more structured work environment. Both roles often require similar skills and credentials, but employment status impacts taxes and benefits.

What is a Remote Data Analyst 1099?

A Remote Data Analyst 1099 is an independent contractor who works from a remote location to collect, process, and analyze data for organizations. Unlike traditional employees, 1099 analysts are self-employed and typically work on a project or contract basis, invoicing clients rather than receiving a salary. Their responsibilities may include generating reports, identifying data trends, and providing actionable insights to help businesses make informed decisions. Working remotely, they use various software tools to collaborate with teams and manage data securely.

What are some common challenges faced by Remote Data Analyst 1099 contractors, and how can they be addressed?

Remote Data Analyst 1099 contractors often face challenges such as managing multiple client expectations, ensuring secure data access, and maintaining clear communication across virtual teams. To address these, it’s important to establish structured communication channels, clarify deliverables upfront, and use secure, cloud-based platforms for data sharing. Additionally, effective time management and regular check-ins with clients can help maintain workflow transparency and build strong professional relationships.
What job categories do people searching Remote Data Analyst 1099 jobs in Virginia look for? The top searched job categories for Remote Data Analyst 1099 jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Analyst 1099 jobs? Cities in Virginia with the most Remote Data Analyst 1099 job openings:
Infographic showing various Remote Data Analyst 1099 job openings in Virginia as of July 2026, with employment types broken down into 78% Full Time, 7% Part Time, and 15% Contract. Highlights an 100% Remote job distribution.

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Re-posted 21 days ago


Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.