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Astronomy Data Analysis Remote Jobs in Oregon (NOW HIRING)

Data Scientist

OR ยท On-site +1

Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now

Senior Data Analyst

OR ยท On-site +1

$90K - $125K/yr

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful

Research Analyst (Non-Data)

OR ยท On-site +1

$50K - $70K/yr

About Us DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital

Senior Financial Analyst, FP&A (Contractor)

OR ยท On-site +1

$60 - $70/hr

About this role: We are seeking a Senior Financial Analyst contractor to support the upcoming Annual Operating Plan and forecast cycles by leveraging AI to improve financial analysis, planning, and

Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now

Sr. Data Engineer

OR ยท On-site +1

$100K - $150K/yr

What you'll do: Your data-driven mindset and ability to work with large-scale data systems enable NinjaTrader to serve customers better, identify new opportunities, and improve processes. As an

Staff Data Analyst, Servicing

OR ยท On-site +1

$61K - $81K/yr

The Team: Upstart's Servicing Analytics team plays a critical role of providing analytical capability for Upstart's servicing functions to enable data-driven decision making. We leverage our

General Summary: The IT Enterprise Data Architect is responsible for defining, governing, and evolving ConnectWise's enterprise data architecture across the internal technology estate. This role

Data Classification Associate, Corporate

OR ยท On-site +1

$16 - $20.75/hr

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our

About Us Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming

About Us Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming

About Us Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming

About Us Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming

Showing results 21-40

Astronomy Data Analysis Remote information

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 are the key skills and qualifications needed to thrive as an astronomy data analysis remote professional?

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 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.

What are the most commonly searched types of Astronomy Data Analysis jobs in Oregon?

The most popular types of Astronomy Data Analysis jobs in Oregon are:

What job categories do people searching Astronomy Data Analysis Remote jobs in Oregon look for?

The top searched job categories for Astronomy Data Analysis Remote jobs in Oregon are:

What cities in Oregon are hiring for Astronomy Data Analysis Remote jobs?

Cities in Oregon with the most Astronomy Data Analysis Remote job openings:

Infographic showing various Astronomy Data Analysis Remote job openings in Oregon as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution.

Commercial Data Analyst

OR โ€ข On-site, Remote

$95K - $120K/yr

Full-time

Re-posted 7 days ago


Job description

Location:ย US Remote

Reports To: Director, Field Service - Business Systems & Reporting

Salary Range: $95,000-$120,000

Position Summary:

As a Commercial Data Analyst, your goal is to unlock insights that drive the business-supporting strategic decision-making and performance management. This role is responsible for analyzing customer behavior, marketplace dynamics, and operational performance to provide visibility and optimize key business initiatives for one of our top customers.

This role partners closely with IT BI team and business consumers to establish KPI, metrics and dashboards.

Key Responsibilities:

  • Develop, maintain, and enhance analytics frameworks to monitor customer retention, market share and revenue growth and market expansion initiatives.
  • Provide analytics and insights into customer forecast and impact to operational performance and business prioritization.
  • Provide analytics for quote to order conversion.
  • Provide analytics around key operational metrics that influence customer satisfaction.
  • Leverage AI tools and modern analytics workflows to improve efficiency, insight generation, and decision support across day-to-day operations
  • Collaborate with Data Science, Infrastructure, and other Analytics teams using tools such as Tableau and snowflake to deliver timely performance insights
  • Communicate clear, actionable insights and recommendations to stakeholders across the organization

Expectations:

  • Foster a Positive Work Environment: Promote a culture of respect and employee engagement.
  • Professionalism: Demonstrate high integrity, discretion, and confidentiality when handling workplace information.
  • Communication: Foster clear, respectful, and proactive communication with peers, management, and external partners to build positive relationships.
  • Teamwork: Utilize team concepts to collaborate with cross functional and leadership teams to streamline and drive operational success.

Qualifications:

  • 6+ years of relevant analytical experience working with large datasets and delivering insights
  • Bachelor's or master's degree in Analytics or related field is preferred
  • Experience in commercial domain preferred.
  • Hands-on experience incorporating AI tools (e.g., generative AI, automation, or advanced analytics workflows) into day-to-day analytical work
  • Demonstrated ability to influence stakeholders through data-driven insights and clear communication
  • Strong attention to detail and commitment to data accuracy.
  • Strong business acumen, critical thinking, and problem-solving skills
  • Experience mentoring and developing analysts in a team environment
  • Experience with visualization tools such as Tableau