Data Analyst - Cloud Financial Operations

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 focused on Cloud Financial Data 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 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 optimize and forecast our cloud spending, better understand cost drivers, and provide inputs to pricing and other key business decisions.

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

Impact You'll Own:

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

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 cloud cost use cases

What Makes You Stand Out:

Experience with the modern data stack:
Fivetran, dbt, Looker/Omni/Sigma, or similar

Experience enabling finance teams with cost and revenue data Familiarity with enterprise cloud platforms (GCP preferred)
Final date to receive applications:11:45p / 23:45 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…