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Data Analyst Night Shift Remote Jobs in Virginia

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

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:

Fairfax County

Data Analyst III

Fairfax, VA · On-site +1

$88K - $155K/yr

Facilitates data sharing with remote systems and agency transactional systems. Plans, evaluates ... Develops data standards, analytic schemas, and complex data models to ensure complete, correct ...

Genworth Financial

Principal Data Analyst

Richmond, VA · On-site +1

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 ...

Alpha Omega Integration

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 ...

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

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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Data Analyst Night Shift Remote information

What is the difference between Data Analyst Night Shift Remote vs Data Scientist Night Shift Remote?

AspectData Analyst Night Shift RemoteData Scientist Night Shift Remote
Required CredentialsBachelor's in Statistics, Data Analysis, or related field; often certifications like Microsoft Excel, SQLBachelor's or Master's in Computer Science, Statistics, or related; certifications in Python, R, Machine Learning
Work EnvironmentRemote, night shift, primarily data processing and reportingRemote, night shift, involves advanced modeling and algorithm development
Employer & Industry UsageBusiness, finance, healthcare, retailTech, finance, healthcare, research institutions

Data Analyst Night Shift Remote roles focus on data collection, cleaning, and reporting, requiring strong analytical skills. Data Scientist Night Shift Remote positions involve building predictive models and advanced analytics. Both roles are remote and night-shift, but Data Scientists typically need more advanced technical skills and higher education.

What does a data analyst night shift remote do?

A Data Analyst Night Shift Remote is responsible for collecting, processing, and analyzing data to provide actionable insights, but works outside typical business hours and usually from a remote location. Their primary duties may include generating daily reports, monitoring data trends, maintaining databases, and supporting teams in different time zones. This role is ideal for individuals who prefer or need to work overnight and thrive in independent, virtual work environments. Additionally, night shift remote analysts often help ensure continuous data operations and may address urgent issues that arise after standard business hours.

What are the key skills and qualifications needed to thrive as a data analyst night shift remote?

To thrive as a Data Analyst Night Shift Remote, 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), SQL, and programming languages like Python or R is typically required. Excellent time management, self-motivation, and clear communication are crucial soft skills, especially in a remote and overnight setting. These skills ensure accurate data-driven insights, effective collaboration across time zones, and high productivity in a remote work environment.

How does working as a night shift remote data analyst impact communication and collaboration with daytime teams?

As a night shift remote Data Analyst, you'll often collaborate asynchronously with colleagues who work standard daytime hours. Effective communication is key; you'll likely use project management tools, detailed handover notes, and regular status updates to ensure alignment. While real-time meetings may be limited, most organizations schedule overlap hours or utilize messaging platforms to address urgent questions. Proactively reaching out and documenting your work clearly helps maintain smooth workflows and fosters strong team connections, even across time zones.
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Data Analyst Night Shift Remote jobs near you
Infographic showing various Data Analyst Night Shift Remote job openings in Virginia as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Analyst

PEOPLE TECHNOLOGY AND PROCESSES LLC

Arlington, VA • Remote

Other

Re-posted 28 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.

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