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Remote Meteorological 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:

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.

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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Remote Meteorological Data Analyst information

What is the difference between Remote Meteorological Data Analyst vs Remote Climate Data Analyst?

AspectRemote Meteorological Data AnalystRemote Climate Data Analyst
Required CredentialsBachelor's in Meteorology, Atmospheric Science, or related field; certifications like AMS Certified Consulting MeteorologistBachelor's in Environmental Science, Climatology, or related; certifications in climate analysis preferred
Work EnvironmentRemote, often collaborating with weather agencies, research institutions, or private weather servicesRemote, working with environmental agencies, research organizations, or policy groups
Industry UsageWeather forecasting, aviation, agriculture, emergency managementEnvironmental policy, climate research, sustainability projects

The main difference is that Remote Meteorological Data Analysts focus on weather patterns and forecasting, while Remote Climate Data Analysts specialize in long-term climate trends and environmental impacts. Both roles require similar educational backgrounds and often operate remotely, but they serve different industry needs and data types.

What does a Remote Meteorological Data Analyst do?

A Remote Meteorological Data Analyst is responsible for collecting, processing, and interpreting weather and climate data from various sources, often while working from a remote location. They analyze complex meteorological data to identify trends, create forecasts, and support research or operational decision-making. These analysts use specialized software and tools to work with large datasets, and their insights are valuable for industries such as agriculture, aviation, and disaster management. Remote work allows them to collaborate with teams and access data systems online, making their expertise accessible from anywhere.

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

To thrive as a Remote Meteorological Data Analyst, you need a solid background in meteorology or atmospheric science, strong quantitative analysis skills, and a relevant degree such as a B.S. or M.S. in a related field. Familiarity with data analysis tools like Python, R, GIS software, and weather modeling systems, as well as experience with remote sensing data, are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret complex datasets and share findings with diverse stakeholders. These skills are crucial for providing accurate weather insights, supporting decision-making, and ensuring data-driven results in remote and collaborative environments.

How does a Remote Meteorological Data Analyst typically collaborate with other team members and departments?

As a Remote Meteorological Data Analyst, you’ll regularly collaborate with meteorologists, software developers, and other data analysts to interpret weather data and deliver accurate reports. Communication is primarily conducted through virtual meetings, project management tools, and collaborative platforms, ensuring smooth coordination across different time zones. You may also work closely with research teams to refine data models and provide insights for decision-making. This role requires strong communication skills and adaptability to remote teamwork dynamics.
What are the most commonly searched types of Meteorological Data Analyst jobs in Virginia? The most popular types of Meteorological Data Analyst jobs in Virginia are:
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Remote Meteorological Data Analyst jobs near you

Data Analyst

PEOPLE TECHNOLOGY AND PROCESSES LLC

Arlington, VA • Remote

Other

Re-posted 23 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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