Amazon Robotics - Business Intelligence Engineer Co-op - Fall 2023 Co-op, Robotic Storage Technology Analytics

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.

Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.

Amazon Robotics internship/co-op opportunities will be based out of the Greater Boston Area in North Reading, MA. Campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.

Key job responsibilities
Amazon Robotics Storage Technologies is looking for a Business Intelligence Engineer intern/co-op to analyze robotic systems, improve program dashboards, and to create data pipelines through AWS. A successful Co-op candidate will use data and technology to seek improvements or find disruptions in current storage field operations. In addition, a successful team member seeks opportunities to deep dive issues and influence future decisions. Candidates should have experience in business analytics, data science, data visualization, data engineering, and communicating analyses effectively. Amazon Robotics’ culture encourages innovation and expects co-ops to take a high level of ownership in all tasks.

Key Responsibilities for the Co-op:

• Analyze historical data to gauge relative performance metric changes, highlighting causation.
• Analyze data related to NPI storage solutions to evaluate expected vs actual system performance and entitlement
• Work with partner teams to onboard data from other Amazon data providers
• Write queries to pull data and act as a thought partner through the design phase of NPI solutions
• Support existing dashboards making edits to the underlying SQL, metric definitions, and customer facing visualizations
• Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards

About the team
The Robotic Storage Technology Analytics team (RST-A) is comprised of data scientists and Business Intelligence Engineers who support data exploration and analysis to support Amazon Robotics (AR) fulfillment buildings and new product development. We conduct relevant, insightful analysis and communicate the results through white papers, dashboards, and presentations. Our methods include design of experiments, statistical modeling, financial analysis, data pipelining, exploratory data analysis, metric generation, and data visualization.

Basic Qualifications

• Currently enrolled in Bachelor's or higher in an analytically rigorous field (Mathematics, Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics) or other equivalent discipline with a graduation date after May/June 2024
• Must be eligible and available for a full-time (40h / week) 6-month co-op between July to December 2023
• Experience building dashboards in Tableau or other relevant data visualization tool (Looker, PowerBI, Grafana, etc.)
• Write high-quality and optimized SQL queries to retrieve datasets
• Basic understanding of Python or R for exploratory data analysis and modeling
• Ability to communicate analytic results effectively across stakeholder groups

Preferred Qualifications

• Pursuing a Master’s or higher in an analytically rigorous field (Mathematics, Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics) or other equivalent discipline
• Understanding of statistics, specifically random variable distributions and A/B tests
• Familiarity with AWS tools and products for data engineering and data science such as S3, Glue, Sagemaker, and Athena

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individual