Astranis is on a mission to bridge the digital divide by connecting the four billion people worldwide who currently lack internet access. We’re doing this by building the next generation of smaller, more cost-effective spacecraft to bring the world online. 

As a team, we’ve launched two satellites into orbit,  signed ten commercial deals worth over $1 billion in revenue, raised over $500 million from top global investors, and recruited a team of over 300 world-class engineers. We all work out of our (legendary) San Francisco office, which was once used to build ships during the World Wars.

Our satellites, which operate from geostationary orbit (GEO), weigh only 400 kg and utilize a proprietary software-defined radio payload. Each satellite can connect over two million people, and we’re very excited for the impact we’ll soon have in the Philippines, Peru, Mexico, and more! 

Backed by substantial funding and a passionate, collaborative team, we offer a rewarding work environment where you’ll learn and make a significant impact, no matter where you are in your career. 

Apply and join us on our journey towards global connectivity!

Role:

• Work closely with the Production team to analyze and interpret large datasets related to production quality
• Develop dashboards, metrics, and visuals to identify trends in product defect rates and defect types
• Collaborate with cross-functional teams to gather relevant data and insights for continuous improvement in production quality
• Assist in creating reports and presentations to communicate findings and recommendations to the Production team
• Support the implementation of data-driven strategies to enhance overall production quality

Requirements:

• Currently pursuing a degree in Engineering, Business Analytics, Data Science, Statistics, or a related field
• Strong analytical skills and the ability to work with large and complex datasets
• Proficiency in data visualization or business intelligence tools such as Tableau, Power BI, GraphQL or similar platforms
• Knowledge of programming languages such as Python, R, or SQL
• Solid understanding of statistical analysis and data interpretation
• Excellent communication skills, both verbal and written

Bonus:

• Previous internship or coursework experience in a similar role
• Familiarity with quality management systems and methodologies
• Understanding of manufacturing processes and quality control principles