Job Description
Planet designs, builds, and operates the largest constellation of imaging satellites in history.
Key Responsibilities
- 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.
Requirements
- 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)
Benefits & Perks
- 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
Ready to Apply?
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