Planet
Aerospace & DefenseDirect Greenhouse career site

Data Analyst

Pay
$100,300 – $125,400 per year
Location
Arlington, VA
Job type
Full-time
Level
Mid-level
Experience
4+ years
Listed
30 days ago

Skills & highlights for this role

  • SQL
  • Python
  • data modeling

Also useful

  • dbt
  • Looker
  • GCP

Stated benefits & perks

  • Health
  • Dental
  • Vision
  • Parental leave

Welcome to Planet. We believe in using space to help life on Earth.

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

About the Role

We are seeking a Data Analyst to join our Data Team. The ideal candidate is curious, passionate, data-driven, and believes in Planet's mission and values. You will gain first-hand experience in geospatial and enterprise data modeling and analysis. You'll build data products and solutions such as dashboards, self-service tooling, and data pipelines for consumers across Planet, leveraging tools including git, dbt, python, SQL and Omni. What you deliver will be used to improve satellite collection performance, user experience research, business strategy, and overall customer satisfaction.

This is a full-time, hybrid role which will require you to work from our San Francisco, CA or Arlington, VA office 3 days per week.

Impact You'll Own

  • Analyze and visualize data to drive insights and inform product, business or operational problems
  • Work with key stakeholders across the business to define metrics to measure product and business performance
  • Develop and own robust, accurate data models as well as maintain, troubleshoot, and improve existing ones
  • Build datasets into self-service data tools leveraging modern data tooling
  • Contribute to a team of Data Scientists, Analysts and Engineers through discussions and code reviews

What You Bring

  • 4+ years of relevant experience
  • Bachelors' degree, technical certification, or equivalent
  • Expertise in SQL and python for data cleaning, aggregation and analytics
  • Experience with git or other version control
  • Familiarity with enterprise cloud platforms
  • Reliability and accuracy in analytics work
  • Experience working in a dynamic environment serving multiple stakeholder groups with different needs and technical ability
  • Familiarity with geospatial data use cases

What Makes You Stand Out

  • Experience with the modern data stack: Fivetran, dbt, Looker/Omni/Sigma, or similar
  • Experience enabling go to market teams with customer and financial data
  • Familiarity with enterprise cloud platforms (GCP preferred)

Application Deadline

  • 11:45pm PT on the date stated below.
  • Applications are reviewed on a rolling basis.
  • This posting may be removed earlier than projected if a suitable pool of applications has been received.
  • For this reason, we recommend applying as soon as you are able to.

Benefits While Working at Planet

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

  • Comprehensive Medical, Dental, and Vision plans
  • Health Savings Account (HSA) with a company contribution
  • Generous Paid Time Off in addition to holidays and company-wide days off
  • 16 Weeks of Paid Parental Leave
  • Wellness Program and Employee Assistance Program (EAP)
  • Home Office Reimbursement
  • Monthly Phone and Internet Reimbursement
  • Tuition Reimbursement and access to LinkedIn Learning
  • Equity
  • Commuter Benefits (if local to an office)
  • Volunteering Paid Time Off

Compensation

The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

US National Salary Range $100,300—$125,400 USD

Read the original posting

From Planet's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Data Analyst role at Planet, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

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Common questions

What is the salary for the Data Analyst role at Planet?

The Data Analyst posting at Planet states compensation of $100,300 – $125,400 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Planet's official career site.

Where is the Data Analyst job at Planet located?

This Data Analyst position at Planet is located in Arlington, VA. Always check Planet's application page for specific state eligibility or relocation policies.

What qualifications are required for Data Analyst at Planet?

For the Data Analyst role, Planet highlights 4+ years of relevant experience; experience with SQL, Python, data modeling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Data Analyst position at Planet?

This listing links directly to Planet's Greenhouse application page. You can apply directly on Planet's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.