Cloud Cost Analytics Analyst

Planet; San Francisco (CA); Hybrid; USD 114,000 - 143,000; Full time

Benefits offered by this job

Medical, Dental, Vision

HSA with company contribution

Paid Time Off

Parental Leave

Wellness Program

Job summary

Planet is looking for a Data Analyst focused on Cloud Financial Data to join their Data Team in San Francisco. You will build data products such as dashboards and data pipelines, leveraging git, dbt, python, SQL and Omni to optimize cloud spending and inform pricing decisions.

The role is full‑time and hybrid, requiring 3 days per week in the San Francisco office, with opportunities to work across enterprise cloud platforms and collaborate with cross‑functional stakeholders.

Qualifications

• 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.

Responsibilities

• Build and own extract, transform, load pipelines to ingest and aggregate cloud cost‑related datasets.
• 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 efficiency.
• 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.

Skills

SQL

Python

Git

Cloud platforms

Data analysis

Education

Bachelor's degree

Tools

dbt

Looker Omni Sigma

Job description

Planet is looking for a Data Analyst focused on Cloud Financial Data to join their Data Team in San Francisco. You will build data products such as dashboards and data pipelines, leveraging git, dbt, python, SQL and Omni to optimize cloud spending and inform pricing decisions.

The role is full‑time and hybrid, requiring 3 days per week in the San Francisco office, with opportunities to work across enterprise cloud platforms and collaborate with cross‑functional stakeholders.