Data Analyst - Cloud Financial Operations

📋 Job Overview

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 Planet

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.

🎯 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.

✅ Key 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

📌 Required Qualifications

• 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

⭐ Desirable Experience

• 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)

🎁 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 (if local to an office)
Volunteering Paid Time Off

The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

🛂 Visa & Eligibility

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.