Data Analyst - Cloud Financial Operations

Planet•San Francisco, CA
•Hybrid

About The Position

Planet is seeking a Data Analyst focused on Cloud Financial Data to join its Data Team. The role builds data products and solutions—including dashboards, self-service tools, and data pipelines—for consumers across Planet, using tools such as git, dbt, Python, SQL, and Omni. The work supports optimizing and forecasting cloud spending, understanding cost drivers, and informing pricing and other business decisions. This is a full-time, hybrid position requiring work from the San Francisco office three days per week.

Requirements

  • 4+ years of relevant experience.
  • Bachelor’s 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 cloud cost use cases.

Nice To Haves

  • Experience with the modern data stack, such as Fivetran, dbt, Looker, Omni, Sigma, or similar tools.
  • Experience enabling finance teams with cost and revenue data.
  • Familiarity with enterprise cloud platforms; GCP is preferred.

Responsibilities

  • Build and own extract, transform, and load pipelines to ingest and aggregate cloud cost-related datasets.
  • Analyze and visualize data to generate insights and inform product, business, or operational problems.
  • Work with stakeholders across the business to define metrics for measuring product and business efficiency.
  • Build datasets into self-service data tools using modern data tooling.
  • Contribute to a team of Data Scientists, Analysts, and Engineers through discussions and code reviews.

Benefits

  • 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 for employees local to an office.
  • Paid time off for volunteering.
  • The role might be eligible for discretionary short-term and long-term incentives (bonus and equity).
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