Data Analyst at Planet Labs Inc

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Data Modeling, Data Visualization, Git, Google Cloud Platform, Collaboration, Organizational Skills, Data Cleaning, Aggregation, Analytics, CI/CD Pipelines, Geospatial Data, Self-Service Tooling, Business Strategy

Industry

Software Development

Description

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 the Role: We are seeking a Data Analyst 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 geospatial and 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 improve satellite collection performance, user experience research, business strategy, and overall customer satisfaction. This is a full-time, hybrid role which will require you to work from our Berlin office 3 days per week. Impact You’ll Own: Develop and own robust, accurate data pipelines as well as maintain, troubleshoot, and improve existing ones Build data models to transform business problems into actionable metrics Analyze and visualize data to inform product, business or operational problems Develop self-service data tooling and insights to drive decision making Contribute to a team of Data Scientists, Analysts and Engineers through discussions and code reviews What You Bring: Bachelors’ degree, technical certification, or equivalent Experience with SQL and python for data cleaning, aggregation and analytics Familiarity with git or other version control Familiarity with Google Cloud Platform or other enterprise cloud systems Reliability and accuracy in analytics work Experience working in a dynamic environment Good organizational skills, ability to execute multiple projects Ability to collaborate across teams Fluent in written and spoken English, the language of our company What Makes You Stand Out: Experience with the modern data stack: Fivetran, dbt, Looker/Omni/Sigma, or similar Experience with geospatial data use cases Experience building and debugging CI/CD pipelines Application Deadline: January 20th, 2026, 11:59pm PST Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Paid time off including vacation, holidays and company-wide days off Employee Wellness Program Home Office Reimbursement Monthly Phone and Internet Reimbursement Tuition Reimbursement and access to LinkedIn Learning Equity Volunteering Paid Time Off 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 accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

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Responsibilities

Develop and maintain robust data pipelines and build data models to transform business problems into actionable metrics. Analyze and visualize data to inform product and operational decisions while contributing to a collaborative team environment.