Data Analyst - Cloud Financial Operations Strategy & Ops

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

Benefits offered by this job

Health insurance

HSA with company contrib

Paid time off

Parental leave

Wellness program

Home office reimbursement

Phone & Internet reimbursement

Tuition reimbursement

Equity

Commuter benefits

Volunteering PTO

Job summary

Planet, a leading space and data company, seeks a Data Analyst focused on Cloud Financial Data to build data products, dashboards, and pipelines that forecast cloud spending and cost drivers. The role involves cross-team collaboration, data modeling, and analytical storytelling using SQL, Python, dbt, and Omni.

This is a full-time, hybrid position requiring three days in the San Francisco office. You will contribute to cost insights, dashboards, and tools used by product, finance, and operations

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 visualization

Stakeholder collab

Cost analytics

Education

Bachelor's degree

Tools

dbt

Looker Omni Sigma

Omni

Job description

Data Analyst - Cloud Financial Operations

Build and maintain cloud-cost data pipelines and dashboards for forecasting spending

Location: San Francisco, California

Compensation: $114,200 - 142,700 USD / year

About The Role

Data Analyst Focused on Cloud Financial Data

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)

Application Deadline: 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:

• 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, 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.