Data Analyst - Cloud Financial Operations

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

Benefits offered by this job

Health insurance

HSA with company contribution

Paid time off & holidays

Job summary

Planet Labs is seeking a Data Analyst focused on Cloud Financial Data to join our Data Team. You will build data products, dashboards, and self-service tooling to optimize cloud spend and understand cost drivers across Planet's products.

This role blends data modeling, analytics, and collaboration with stakeholders to influence pricing and business decisions. The role is full-time and hybrid, requiring a SF office presence 3 days per week.

Qualifications

• 4+ years of relevant experience.
• Bachelor's degree, technical certification, or equivalent.

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

Data analysis

Git

Cloud platforms

Cost usage

Stakeholder engagement

Attention to detail

Education

Bachelor's degree

Tools

dbt

Fivetran

Looker

Job description

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)

Benefits While Working at Planet:

• 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

Compensation:

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.

San Francisco Salary Range

$114,200—$142,700 USD

San Francisco Fair Chance Ordinance

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

Why we care so much about Belonging.

We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.

EEO statement:

Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.

Accommodations:

Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to [e-mail] or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

AI in Our Interviewing Process:

Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a “Planet AI Notetaker” for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.

Candidate AI Policy:

Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact [e-mail] with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.