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Planet

Data Analyst - Cloud Financial Operations

  • Hybrid
  • 3-6 years

Salary

$114,200 - 142,700/ year

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Description

The company designs, builds and runs the largest fleet of imaging satellites ever flown, and sells the data through a cloud platform to customers in commercial, environmental and humanitarian fields.

The team works across hardware, manufacturing, data processing and software, so the office brings together specialists from many disciplines.

Employees work remotely around the world and in offices in San Francisco, Washington DC, Germany, Austria, Slovenia and The Netherlands.

The Data Team is hiring a Data Analyst focused on cloud financial data. You will build dashboards, self-service tools and data pipelines for internal users, using git, dbt, Python, SQL and Omni. Your work will help the company forecast and control cloud spend, understand cost drivers and inform pricing and other business decisions.

The role gains hands-on experience in enterprise data modeling and analysis.

Responsibilities

  • Build and maintain extract, transform and load pipelines that collect and combine cloud cost data.
  • Analyze and visualize data to surface insights and answer product, business and operational questions.
  • Partner with stakeholders across the business to define metrics that track product and business efficiency.
  • Turn datasets into self-service data tools using current data tooling.
  • Support Data Scientists, Analysts and Engineers through discussion and code review.

Requirements

  • At least 4 years of relevant experience.
  • A bachelor's degree, a technical certification or equivalent experience.
  • Strong SQL and Python skills for cleaning, aggregating and analyzing data.
  • Experience with git or another version control system.
  • Familiarity with enterprise cloud platforms.
  • Reliable, accurate analytics work.
  • Experience working in a fast-moving setting with several stakeholder groups who have different needs and technical levels.
  • Familiarity with cloud cost use cases.
  • Nice to have: experience with the modern data stack, such as Fivetran, dbt, Looker, Omni or Sigma.
  • Nice to have: experience supporting finance teams with cost and revenue data.
  • Nice to have: familiarity with enterprise cloud platforms, GCP preferred.

Conditions

Full-time, hybrid role based in the San Francisco office three days per week.

The US base salary range for San Francisco is $114,200 to $142,700 USD at the start of employment. The final figure depends on relevant experience, skills and location, and your recruiter can share the range for your location.

The role may be eligible for discretionary short-term and long-term incentives, including bonus and equity.

Under the San Francisco Fair Chance Ordinance, the company considers applicants with arrest and conviction records.

The company encourages applicants who do not meet every qualification to apply, since it values well-rounded candidates from many backgrounds.

Applications are reviewed on a rolling basis and the posting may close early. The deadline is 11:45 PM PT (23:45) on the date stated, and applying early is recommended.

Benefits

  • Medical, dental and vision coverage.
  • Health Savings Account with a company contribution.
  • Generous paid time off, plus holidays and company-wide days off.
  • 16 weeks of paid parental leave.
  • Wellness program and Employee Assistance Program.
  • Home office reimbursement.
  • Monthly phone and internet reimbursement.
  • Tuition reimbursement and access to LinkedIn Learning.
  • Equity.
  • Commuter benefits for employees local to an office.
  • Paid time off for volunteering.
  • Benefit eligibility depends on employment type and location, under applicable law and company policy.

Where you’d work

Hybrid, 3 days a week in the office

The office

About the company

Planet

Office in San Francisco, United States

Also hiring in Netherlands, Ljubljana, Slovenia, Berlin, Germany and 3 more places

4 of their 37 open roles are remote

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • dbt
  • Looker
Type
Full-time
Equity
Equity offered
Specialty
Data Analyst
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Experience
4+ years
Tech stack
  • Python
  • SQL
  • dbt
  • Looker

Location

Work model
Hybrid
Region
United States
Office
  • San Francisco, United States
Days in the office
3 days

Compensation

Salary
$114,200 - 142,700 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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