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Astronomy Data Analysis Remote Jobs (NOW HIRING)

Job Title Financial Consultant, Personal Lines Insurance FP&A - Remote Requisition Number R7744 ... Experience with data extraction and uploading in Enterprise Performance Management (EPM) systems.

Job Title Financial Consultant, Personal Lines Insurance FP&A - Remote Requisition Number R7744 ... Experience with data extraction and uploading in Enterprise Performance Management (EPM) systems.

Job Title Financial Consultant, Personal Lines Insurance FP&A - Remote Requisition Number R7744 ... Experience with data extraction and uploading in Enterprise Performance Management (EPM) systems.

Job Title Financial Consultant, Personal Lines Insurance FP&A - Remote Requisition Number R7744 ... Experience with data extraction and uploading in Enterprise Performance Management (EPM) systems.

Job Title Financial Consultant, Personal Lines Insurance FP&A - Remote Requisition Number R7744 ... Experience with data extraction and uploading in Enterprise Performance Management (EPM) systems.

Job Title Financial Consultant, Personal Lines Insurance FP&A - Remote Requisition Number R7744 ... Experience with data extraction and uploading in Enterprise Performance Management (EPM) systems.

Job Title Financial Consultant, Personal Lines Insurance FP&A - Remote Requisition Number R7744 ... Experience with data extraction and uploading in Enterprise Performance Management (EPM) systems.

Job Title Financial Consultant, Personal Lines Insurance FP&A - Remote Requisition Number R7744 ... Experience with data extraction and uploading in Enterprise Performance Management (EPM) systems.

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Astronomy Data Analysis Remote information

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$10

$58

$83

How much do astronomy data analysis remote jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for astronomy data analysis remote in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Astronomy Data Analysis Remote professional, and why are they important?

To thrive in Astronomy Data Analysis remotely, you need strong analytical skills, a background in physics or astronomy, and experience with statistical data analysis, often supported by a relevant degree. Familiarity with programming languages like Python or R, astronomical data processing tools (e.g., Astropy), and experience working with large datasets are highly valuable. Excellent problem-solving, attention to detail, and the ability to communicate findings clearly with a distributed team are crucial soft skills. These competencies enable accurate interpretation of complex data, efficient collaboration, and impactful scientific contributions in a remote environment.

What are some common challenges faced by remote astronomy data analysts, and how can they be addressed?

Remote astronomy data analysts often encounter challenges such as managing large datasets, ensuring data integrity, and collaborating effectively with geographically dispersed teams. To address these, it's important to have a reliable internet connection, proficiency with cloud-based data tools, and familiarity with version control systems. Regular virtual meetings and clear documentation also help maintain strong team communication and workflow efficiency, ensuring successful project outcomes even when working remotely.

What is Astronomy Data Analysis in a remote job setting?

Astronomy Data Analysis in a remote job involves processing and interpreting data collected from telescopes, satellites, or simulations to help scientists understand celestial phenomena. Remote analysts typically use specialized software and programming languages like Python or MATLAB to clean, visualize, and analyze large datasets. They may work with images, spectra, or time-series data, often collaborating with teams via online platforms. The role requires strong analytical skills, attention to detail, and the ability to communicate findings effectively, all while working from a location outside of a traditional office or research facility.

What is the difference between Astronomy Data Analysis Remote vs Astronomy Data Analysis?

AspectAstronomy Data Analysis RemoteAstronomy Data Analysis
Work EnvironmentRemote, often freelance or contract-basedOn-site or hybrid observatories, research centers, or universities
Required CredentialsDegree in astronomy, astrophysics, or related field; strong data analysis skillsSimilar credentials; often includes research experience and specialized certifications
Employer & Industry UsageResearch institutions, universities, space agencies, private companiesResearch institutions, observatories, academic settings

Both roles require a background in astronomy and data analysis skills. The main difference lies in the work environment: Astronomy Data Analysis Remote offers flexibility to work from anywhere, while Astronomy Data Analysis typically involves on-site research or collaboration at physical locations. The choice depends on your preference for remote work versus in-person research settings.

More about Astronomy Data Analysis Remote jobs
What cities are hiring for Astronomy Data Analysis Remote jobs? Cities with the most Astronomy Data Analysis Remote job openings:
What are the most commonly searched types of Astronomy Data Analysis jobs? The most popular types of Astronomy Data Analysis jobs are:
What states have the most Astronomy Data Analysis Remote jobs? States with the most job openings for Astronomy Data Analysis Remote jobs include:
Infographic showing various Astronomy Data Analysis Remote job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

University Of Illinois Urbana-Champaign rating

7.3

Company rating: 7.3 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

308th of 530 rated colleges and universities


Job description

Job Summary:
The University of Illinois Urbana-Champaign is a leading research institution seeking a Data Analyst to support data analysis and business intelligence tools. This role involves collaborating with university staff to create reports and dashboards that enhance their data utilization and assisting in the maintenance of analytics programs.
Responsibilities:
• Analyze and create an inventory track of data analytics and business intelligence assets, including data, reports, dashboards, and queries tools that will be used during future modernization programs and projects.
• Work directly with university staff to help them use data effectively, including building reports and dashboards based on their needs.
• Collaborate with other data analytics staff to design data solutions that follow university standards.
• Learn new data analytics tools and skills to help improve the team's and clients' success.
• Take part in projects, update others on progress, raise important issues, and help manage risks to keep projects on track.
• Help develop and coordinate training programs to improve data literacy among university staff.
Qualifications:
Required:
• High school diploma or equivalent.
• Any one or any combination totaling two (2) years (24 months) from the following categories: a. College coursework which includes Information Technology (IT), IT Management, Programming, IT systems, or a closely related discipline, as measured by the following conversion table or its proportional equivalent: 30 semester hours equals one (1) year (12 months), Associate's Degree (60 semester hours) equals eighteen months (18 months), 90 semester hours equals two (2) years (24 months), Bachelor's Degree (120 semester hours) equals three (3) years (36 months)
• Work experience in IT-related functions, such as hardware/software support, programming, network design, network engineering, IT systems integration, or closely related field.
• Able to use critical thinking to understand what clients need, find useful information in data, and deliver solutions that work.
• Strong organizational and documentation skills.
• Capable of gathering requirements and developing data analysis solutions, including creating reports and visualizations, through an iterative process.
• Experienced in working with various stakeholders and teams.
• Able to develop SQL queries.
• Understands data models and database environments.
• Able to prioritize work and collaborate in a team setting.
• Flexible and comfortable working in an agile environment.
• Excellent oral and written communication skills.
• Pays close attention to detail.
Preferred:
• Experience working in a University or higher education setting.
• Familiarity with modern data analytics, including data virtualization and cloud data storage.
• Experience with cloud-based ERP systems.
Company:
The University of Illinois Urbana-Champaign is dedicated to building upon its tradition of excellence in education, research, public engagement and economic development. Founded in 1915, the company is headquartered in Champaign, IL, US, , with a team of 10001+ employees. The company is currently Late Stage.

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