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/full-time opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both 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 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 & influence future decisions, automate and standardize tools & processes where needed. 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.
As a Business Intelligence Co-op you may:
* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs
* Analyze historical data to gauge relative performance metric changes, highlighting causation.
* Analyze data related to 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 CI & NPI solutions
* Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards
* Recognize and implement best practices and automation opportunities for reporting and analysis
About the team
The Robotic Storage Technology BI, Analytics and Data Science team (RST-BAND) 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, Master’s degree or higher in the US in an analytically rigorous field (Mathematics, Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics) or other equivalent discipline
- Must be eligible and available for a full-time (40h / week) 5-6-month in-person internship in spring 2025
- 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 for exploratory data analysis and modeling
- Ability to communicate analytic results effectively across stakeholder groups
PREFERRED QUALIFICATIONS
- 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 individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.