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Data Analyst

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Onsite

Data Analyst

Planet

Data Analyst

Skills

Google Cloud PlatformSQL QueriesLookerPythonGitData Analysisdbt

2 months ago

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Important information


Salary:

$114,200 – $142,700 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

9 September 2026

What they need


Who you are

  • 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
  • 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)
  • If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply!

What the job involves

  • 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
  • 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

The application process

  • Application Deadline: November 17, 2026 at 11:59p PT

Benefits

  • Comprehensive health plan
  • Wellness program and massages
  • Flexible time off
  • Recognition programs
  • Commuter benefits
  • Learning and tuition reimbursement
  • Parental leave
  • Offsites and happy hours
  • Volunteering benefits

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