Analytics Engineer, Collaborative Robots

• Bachelor’s degree in technical or business field, or equivalent commensurate experience
• 2+ years of professional experience
• Strong SQL skills and experience with DBT or a similar data modeling tool
• Hands-on experience with Databricks, Snowflake, BigQuery, Redshift, or similar cloud data platforms
• Experience building and maintaining dashboards using BI tools like Power BI or Tableau
• Highly motivated teammate with excellent oral and written communication skills
• Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team
• Willing to occasionally travel
• Must have and maintain US work authorization

Desirable

• At Collaborative Robotics, we’re reimagining the future of human–robot interaction
• Our goal is to create a world where robots are trusted extensions of their environment, working seamlessly alongside people, adapting to dynamic conditions, and enabling humans to focus on higher-value tasks
• As a Data Analytics Engineer, you will play a central role in making this vision possible
• You’ll own the transformation layer of our data stack, shaping how raw data becomes insight
• From modeling datasets with DBT to powering dashboards and reports, your work will enable engineers, operators, and leadership to make fast, confident, data-driven decisions
• In this role, you’ll collaborate across engineering, product, and operations teams to ensure data is both technically robust and aligned to business needs
• You’ll be the bridge between data producers and data consumers, helping us scale our analytics and reporting while continuously improving the tools and models we rely on
• This is an opportunity to join a fast-paced, collaborative startup environment where your work will directly impact how humans and robots work together
• If you thrive at the intersection of data, engineering, and innovation—and want to help shape the future of robotics—we’d love to meet you
• Own the transformation layer of our data stack: build and maintain DBT models to convert raw data into clean, documented, and analysis-ready datasets
• Partner with data engineers to ensure seamless data flow into Databricks and apply modeling best practices to enable self-serve analytics
• Build and maintain dashboards to support the engineering team and broader stakeholders with accurate and timely insights
• Field ad hoc data questions, enabling faster decision-making with clear data access and interpretation
• Automate the generation of weekly or monthly reporting materials, ensuring meeting prep and leadership updates are always ready with up-to-date data
• Proactively improve our data stack, suggesting new metrics, optimizations, or opportunities for better instrumentation
• Serve as the connective tissue between data producers and consumers, ensuring that data is both technically robust and business-aligned