Amazon Robotics - Business Intelligence Engineer Co-op - Fall 2023 Co-op, Robotic Storage Technology Analytics
North Reading, Massachusetts, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...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 individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Athena AWS Business Analytics Business Intelligence Computer Science Computer Vision CX Data analysis Data pipelines Data visualization Econometrics EDA Engineering Grafana Industrial Looker Machine Learning Mathematics Pipelines Power BI Python R Research Robotics SageMaker SQL Statistical modeling Statistics Tableau Testing
Perks/benefits: Career development
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