Senior Data Analyst, Collaborative Robots

• Are you passionate about harnessing the power of data to drive robotics innovation? Do you excel in data analysis, structure design, and metric identification to enhance decision-making?
• Bachelor's degree in a quantitative field (Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or equivalent)
• 5+ years of relevant experience in data analytics, data science, data modeling, and statistical analysis and modeling
• Experience with data visualization using Tableau or similar BI tools to create end-to-end dashboard solutions and reports for diverse users
• Excellent verbal and written communication skills
• Strong interpersonal skills, with the ability to effectively communicate with prospects, customers, operators, business leadership, and technical teams
• Familiarity with programming languages such as Python, R, or SQL for data analysis
• Knowledge of AWS or other cloud platforms for data storage and processing
• Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team
• Willingness to occasionally travel for the role (up to 25%)

Desirable

• As a Senior Data Analyst at Collaborative Robotics, you will be instrumental in advancing our data-driven robotics initiatives, creating transformative solutions that redefine human-robot interaction
• Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around
• Analyze varied robotic data to help engineering teams understand technology performance across environments
• Troubleshoot customer data pipeline issues and build scalable data logging solutions
• Develop and maintain data analytics processes in collaboration with cross-functional teams
• Conduct relevant, insightful analysis and communicate results through white papers and presentations
• Employ methods such as design of experiments, statistical modeling, financial analysis, and data visualization
• Use unified and disparate data sources to uncover insights and deliver decision-driving analytics and automated data visualizations
• Collaborate closely with the project manager, software architect, and solutions/systems architect to shape the robotic technology landscape