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Remote Satellite Data Analyst Jobs (NOW HIRING)

Data Analyst (Remote)

Denver, CO ยท Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst (Remote)

Denver, CO ยท Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Data Analyst Location: Remote project Duration: 6-12 months Responsibilities * Deep data and business analyses to deliver insights and learning * Define, develop, and monitor key performance metrics ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Oracle WebCenter Sites Admin

Houston, TX ยท Remote

$21.75 - $27.50/hr

... Content, Remote Satellite, Community and Gadget Servers) o WebCenter Sites Clustering o Support with Oracle Analytics Server o Knowledge and expertise of Oracle Access Manager o Experience ...

Data Analyst

Pittsburgh, PA ยท On-site +1

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

The Data Analyst helps RightNow Media turn data into trusted, consistent, and actionable insight ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

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Remote Satellite Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Jun 9, 2026, the average yearly pay for remote satellite data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Remote Satellite Data Analyst typically collaborate with cross-functional teams while working remotely?

As a Remote Satellite Data Analyst, you will regularly collaborate with teams such as GIS specialists, engineers, and project managers through virtual meetings, shared platforms, and real-time data-sharing tools. Effective communication and clear documentation are essential, as much of the coordination is done asynchronously across different time zones. You may participate in regular video conferences to review findings, discuss project requirements, and ensure alignment on data interpretation. Building strong remote working relationships and proactively sharing updates helps maintain workflow efficiency and project success.

What is the difference between Remote Satellite Data Analyst vs Remote GIS Analyst?

AspectRemote Satellite Data AnalystRemote GIS Analyst
Required CredentialsBachelor's in Remote Sensing, Geography, or related field; GIS certificationsBachelor's in Geography, GIS, or related; GIS certifications
Work EnvironmentRemote, often field-based data processingRemote, desktop GIS software use
Industry UsageEnvironmental, defense, agriculture sectorsUrban planning, transportation, environmental management
Common Search IntentAnalyzing satellite imagery for insightsMapping and spatial data analysis

The Remote Satellite Data Analyst primarily focuses on analyzing satellite imagery to extract environmental or geographic information, often requiring remote sensing expertise. In contrast, a Remote GIS Analyst specializes in creating maps and managing spatial data within GIS software. While both roles require geographic knowledge and certifications, the Satellite Data Analyst emphasizes satellite data interpretation, whereas the GIS Analyst concentrates on spatial data management and visualization.

What does a Remote Satellite Data Analyst do?

A Remote Satellite Data Analyst is responsible for collecting, processing, and interpreting data obtained from satellites. They use specialized software and analytical techniques to extract meaningful information from satellite imagery, such as environmental changes, weather patterns, or land use. These analysts often work remotely and collaborate with scientists, government agencies, or private companies to support decision-making and research. Their work is essential in fields like agriculture, disaster management, climate science, and urban planning.

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

A Remote Satellite Data Analyst needs a solid background in geospatial analysis, data interpretation, and remote sensing, typically supported by a degree in geography, environmental science, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and experience handling satellite imagery are crucial technical requirements. Strong problem-solving, attention to detail, and effective communication are essential soft skills for translating complex data into actionable insights. These competencies enable accurate analysis, clear reporting, and effective collaboration in supporting data-driven decision-making across various industries.
More about Remote Satellite Data Analyst jobs
What cities are hiring for Remote Satellite Data Analyst jobs? Cities with the most Remote Satellite Data Analyst job openings:
What are the most commonly searched types of Satellite Data Analyst jobs? The most popular types of Satellite Data Analyst jobs are:
What states have the most Remote Satellite Data Analyst jobs? States with the most job openings for Remote Satellite Data Analyst jobs include:
Infographic showing various Remote Satellite Data Analyst job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Satellite Applications Specialist - Precipitation

Rainmaker Technology Corporation

El Segundo, CA โ€ข Remote

$90K - $150K/yr

Other

Posted 19 days ago


Job description

Rainmaker is pioneering a modern cloud seeding system to solve water scarcity and inclement weather problems. We develop and incorporate radar validation, weather-resistant UAS, numerical weather modeling, and sustainable cloud seeds into an effective precipitation enhancement solution.

The Satellite Applications Specialist is responsible for the acquisition, processing, and analysis of satellite cloud and precipitation data for cloud seeding validation. This role requires a deep understanding of satellite remote sensing principles, meteorological processes, and data analysis techniques. The specialist will work closely with meteorologists, data scientists, and software engineers to develop and implement advanced data processing algorithms and workflows.
What You'll Do
  • Data Acquisition: Identify and access publicly available meteorological satellite data from various platforms (e.g., GOES, Meteosat, MODIS, Sentinel, etc.). Develop and maintain data acquisition workflows to retrieve large multi-spectral datasets. Implement data storage and management strategies.
  • Data Ingestion and Processing: Ingest satellite data into data processing systems. Perform data quality checks. Define and implement correction methodologies. Apply atmospheric correction algorithms to account for the effects of the atmosphere on satellite measurements. Develop and implement advanced algorithms for quantitative precipitation estimation (QPE) and phase classification based on machine learning methods.
  • Data Analysis: Analyze satellite data to extract meteorological information, such as cloud cover, precipitation intensity, cloud phase, and atmospheric temperature and humidity profiles. Work to analyze real-time and archival case studies. Develop and apply data visualization techniques to represent meteorological phenomena. Contribute to scientific research projects and publish findings in peer-reviewed journals.
  • Algorithm Development: Develop and test new algorithms for satellite data processing and analysis. Collaborate with data scientists and meteorologists to improve existing algorithms. Stay up-to-date on the latest advancements in satellite remote sensing and data analysis techniques.
  • Precipitation Enhancement Applications: Support precipitation enhancement operations by providing satellite data analysis to identify suitable cloud targets and assess the effectiveness of seeding efforts. Develop algorithms to estimate the potential for precipitation enhancement from precipitation enhancement.
Required Qualifications
  • Master's degree or Ph.D. in meteorology, atmospheric science, remote sensing, or a related field.
  • Strong understanding of satellite remote sensing principles and meteorological processes.
  • Experience with data acquisition, processing, and analysis of large datasets. This involves distributed computing methods, database management systems, data partitioning, vectorizing operations, and GPU acceleration.
  • Experience with Amazon Web Services cloud computing for external data sources, and internal instance management.
  • Proficiency in data analysis tools and programming languages (e.g., Python, MATLAB, R, C++).Knowledge of machine learning and deep learning techniques, for satellite applications.
$90,000 - $150,000 a year
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