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Remote Environmental Data Analyst 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:

SAIC

Data Analyst - GEOINT Technical SME

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... environment * Proficiency in creating and editing visual content such as charts and graphs to ...

Genworth Financial

Principal Data Analyst

Richmond, VA · On-site +1

... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ... complex business environments. * Advanced SQL expertise (Oracle, Microsoft SQL Server, or ...

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Remote Environmental Data Analyst information

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

A Remote Environmental Data Analyst should have a solid background in environmental science, statistics, and data analysis, typically supported by a relevant degree. Familiarity with data analysis tools like R, Python, GIS software, and remote sensing platforms is essential, along with experience handling large environmental datasets. Strong analytical thinking, attention to detail, and effective written communication are critical soft skills for interpreting data and collaborating remotely. These competencies enable accurate environmental assessments and support informed decision-making for sustainability initiatives.

What does a Remote Environmental Data Analyst do?

A Remote Environmental Data Analyst collects, processes, and interprets environmental data such as air quality, water resources, or climate information, all while working from a remote location. They use statistical tools and software to analyze large datasets, identify patterns, and produce reports that support environmental research or policy decisions. Their work often involves collaborating with scientists, government agencies, or private organizations to help monitor and address environmental issues. Strong analytical skills and proficiency in data analysis software are essential for this role.

How does a Remote Environmental Data Analyst typically collaborate with other team members and stakeholders?

As a Remote Environmental Data Analyst, you often work closely with interdisciplinary teams that may include scientists, engineers, project managers, and government agencies. Collaboration is typically facilitated through digital communication tools, shared data platforms, and regular virtual meetings. Your role often involves interpreting data, generating reports, and presenting findings to both technical and non-technical stakeholders. Strong communication skills are essential, as you may need to explain complex data trends or offer actionable recommendations to support environmental projects and policy decisions.
What are the most commonly searched types of Environmental Data Analyst jobs in Virginia? The most popular types of Environmental Data Analyst jobs in Virginia are:
What are popular job titles related to Remote Environmental Data Analyst jobs in Virginia? For Remote Environmental Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Environmental Data Analyst jobs in Virginia look for? The top searched job categories for Remote Environmental Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Remote Environmental Data Analyst jobs? Cities in Virginia with the most Remote Environmental Data Analyst job openings:
Remote Environmental Data Analyst jobs near you
Data Analyst

Data Analyst

PEOPLE TECHNOLOGY AND PROCESSES LLC

Arlington, VA • Remote

Other

Re-posted 9 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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