Amazon Robotics - Business Intelligence Engineer (BIE) Co-op - Spring 2023
Amazon Robotics - Business Intelligence Engineer (BIE)
Robotics Digital Solutions & Technologies
January - June 2023
Boston, MA - Hybrid (Mix/In Person Co-op)
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 co-op 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. This role is a 6 month co-op to join AR full time (40 hours/week) from January - June 2023.
The BIE Co-op will be responsible for:
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs
- Write queries to pull data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready
- Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users)
- Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation
Basic Qualifications for the BIE Co-op:
- Working towards Bachelors or Master’s degree in an analytically rigorous field (Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics, or equivalent)
- Must graduate in or after December 2023
- Must be eligible and available for a full-time (40h / week) 6-month co-op between January - June 2023Must have at least one semester/term/quarter of school left to complete after the end of the co-op
- Experience building dashboards in Tableau, QuickSight or other relevant data visualization tool (Looker, PowerBI, Grafana, etc.)
- Write high-quality SQL queries to retrieve and analyze complex datasets
- Basic understanding of Python, R or other relevant scripting language
- Experience using quantitative methods to evaluate product/system/service performance
- Demonstrated ability to communicate effectively across stakeholder groups
Preferred Qualifications:
- Understanding of ETL processes
- Previous experience or interest in business intelligence, data engineering, system engineering or operations engineering
- Knowledge of AWS (e.g Datalake, Athena, Sagemaker, S3, EC2, RDS)
- Quantitative and qualitative data analysis experience with demonstrated impact to a project or business use case, a track record of creative problem solving, and the desire to create and build new processes
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.