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Internship Satellite Data Analyst Jobs (NOW HIRING)

The ideal candidate will have experience supporting satellite-related data analysis efforts. This position is contingent upon contract award. Key Responsibilities: * Support new product development ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

Manage daily operations of existing satellite data processing systems, ensuring continuous data ... Minimum 2-3 years of data analysis experience. Strong preference for applicants with prior ...

Data Analyst

Radford, VA ยท On-site

$38K/yr

Proficiency in key data analysis and visualization tools such as SQL, Python, R, Excel, Tableau, Cognos, or Power BI demonstrated through academic projects, internships, or personal work. Strong ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data ... DI is headquartered in Marlton, New Jersey, with satellite offices in California, Maryland, Ohio ...

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal ... DI is headquartered in Marlton, New Jersey, with satellite offices in California, Maryland, Ohio ...

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Internship Satellite Data Analyst information

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How much do internship satellite data analyst jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for internship satellite data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

Which internship is best for a data analyst?

The best internship for a data analyst typically involves roles that offer experience with data analysis tools such as Excel, SQL, Python, or R, and exposure to real-world datasets. Internships in industries like finance, technology, or consulting often provide valuable skills and networking opportunities for aspiring data analysts.

Is 40 too late for data science?

For an Internship Satellite Data Analyst or similar data science roles, starting a career at 40 is not too late. Many professionals successfully transition into data science later in life by gaining relevant skills such as programming, statistics, and data analysis tools, and pursuing certifications or coursework. Experience and continuous learning are valued in the field regardless of age.

How to become a satellite system analyst?

To become a satellite system analyst, typically a bachelor's degree in fields like aerospace engineering, computer science, or remote sensing is required. Gaining experience with satellite data, GIS tools, and programming languages such as Python or MATLAB is beneficial. Certifications in satellite technology or data analysis can also enhance job prospects.
What cities are hiring for Internship Satellite Data Analyst jobs? Cities with the most Internship 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 Internship Satellite Data Analyst jobs? States with the most job openings for Internship Satellite Data Analyst jobs include:

Satellite Applications Specialist - Precipitation

Rainmaker Technology Corporation

El Segundo, CA โ€ข Remote

$90K - $150K/yr

Other

Posted 25 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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