Lead Analyst, Collaborative Robots

• Bachelor’s degree in a technical or analytical field, or equivalent practical experience
• 3+ years of experience in BI, data analytics, or analytics engineering
• Advanced SQL skills with experience modeling datasets for analytics and reporting
• Strong experience building dashboards in Tableau or a similar BI platform
• Proficiency in Python for data analysis, automation, and alerting workflows
• Hands-on experience with cloud data platforms such as Databricks, Snowflake, AWS, or GCP
• Experience with robotics, autonomy systems, IoT, or telemetry data—or excitement to learn quickly in these domains
• 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

• As a Business Intelligence Engineer, you’ll play a central role in turning complex telemetry, operational data, and customer-facing signals into insights that guide product decisions, robotics performance, and real-world operations
• From modeling datasets in SQL to building dashboards and automated alerting systems, your work will ensure teams across engineering, operations, and customer deployments can move faster and make confident, data-driven decisions
• In this role, you’ll collaborate closely with data engineers, robotics engineers, and customer teams to shape how data is captured, modeled, visualized, and trusted across the organization
• You’ll be the connective tissue between data producers and data consumers—helping scale our analytics foundation and continually improving the tools, processes, and models we rely on
• Build, maintain, and optimize Tableau dashboards that power internal decision-making and deliver insights directly to customers
• Develop automated alerting and reporting systems—primarily in Python—to surface anomalies, performance issues, and operational events in real time
• Write high-quality SQL to model telemetry and operational data, ensuring stakeholders have timely, accurate, and business-aligned metrics
• Partner with engineering teams to ensure data capture, schemas, and pipelines result in structured, trustworthy, analytics-ready data
• Define, track, and maintain key operational and customer-facing KPIs across the robotics data platform
• Support data quality through validation scripts, documentation, and structured monitoring
• Contribute to the evolution of Cobot’s analytics stack across DBT, Databricks, AWS, and related tools