Full Stack Data Analyst

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, and The Netherlands.

About the Role:  

An exciting opportunity to grow your data career has arisen in Planet’s Business Insights team. We need someone who can move easily up and down the data chain. The objective of our growing team is to surface actionable data so the business can make strategic, data-based decisions. Because we’re a young team, this will require you to be part business / data analyst, part data engineer & part report builder. 

You will be working with origin, staged, and modeled data. You’ll need to manipulate large, complex data sets derived from a broad spectrum of systems. You should be able to demonstrate experience and knowledge of analysis and data engineering concepts, tools and techniques. The successful candidate should be able to articulate and present complex information and data clearly. To contextualize the data being processed, you should be able to liaise with subject matter experts. By maintaining high standards of data quality, reliability, and governance, you will deliver trusted metric packs which may be consumed directly or contribute to further, more complex analysis.

Impact You’ll Own:

• You should be able to turn complex information into clear facts helping internal consumers interpret data to take action 
• Perform ad hoc analysis 
• Self-starter and quick learner with excellent analytical skills
• Always have the business in mind facilitating speed, accuracy, quality and a service attitude 
• Translate business requirements into functional specifications
• Perform robust validation and triangulation of data
• Design, develop & build data models and reports
• Contribute to the signaling of process improvement

What You Bring:

• Advanced SQL knowledge
• Good Git and DBT knowledge, able to work comfortably in a git/dbt framework
• Superior analytic foundation with background in numerate discipline (Mathematics, Statistics, Engineering, Finance, Economics)
• A graduate degree in Computer Science, Statistics, Informatics, Information Systems or similar quantitative field 
• Prefer 3+ years of experience in analysis (emphasis on Finance if possible)
• Be experienced working with a variety of databases but have deep knowledge in at least one
• Excellent organizational skills
• Experience with coding language principles : logic, scripting, system configuration, scheduling and monitoring

What Makes You Stand Out:

• Experience with YAML, Bash, Python, VisualStudio and/or JSON 
• Experience with visualization solutions like Qlik, Tableau, PowerBI or Looker 
• Experience analyzing market ERP & CRM solutions such as NetSuite and Salesforce 
• Google Cloud knowledge, especially BigQuery 

Benefits While Working at Planet:

• Additional company winter holidays and regular global days off
• Remote friendly work environment and flexible working hours
• Contribution to our growth by offering equity options for employees
• Giving back to the community - one day per quarter for charitable work
• Learning and Tuition Reimbursement
• Regular hack-weeks and meetup events to exchange knowledge
• Home office budget
• Employee Resource Groups providing empowering spaces for connection and mentorship

#LI-NB1 #LI-REMOTE

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