Sr. Business Intelligence Engineer, GO-AI Technology & Development Team
Amazon.com - Westborough, MA
posted 16 days ago
About the position
Amazon Robotics develops state-of-the art robotics for Amazon's Fulfillment Centers, which handle more individual items than any company in the world. We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. GO-AI's Technology & Development Team is a cross-functional team of Business Intelligence Engineers, Data Engineers, Software Developers, and Technical Program Managers who are responsible for the technical strategy and delivery for GO-AI.
Responsibilities
- Support leadership decision-making by deep-diving into business hypotheses and anecdotes.
- Design and automate ETL pipelines for business metrics.
- Design insightful dashboards and reports for a senior leadership with a mixture of technical and non-technical backgrounds.
- Research the most appropriate methodologies for a given analytical problem.
- Contribute to key business documents.
- Collaborate with stakeholders to understand business domains, requirements, and expectations.
- Work with owners of data source systems to gain insights into capabilities and limitations.
- Manage the timeline and deliverables of projects, anticipate risks and resolve issues.
- Adopt best practices in reporting: data integrity, test design, validation, and documentation.
- Have knowledge of Artificial Intelligence (AI) / Machine Learning (ML) and other industry solutions in this space to know when to apply what to solve business problems.
- Excellence verbal and written communication skills.
Requirements
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience building ETL pipelines and processes with large datasets
- Experience using SQL to pull data from a database or data warehouse
- Knowledge of data warehousing and data modeling
- Bachelor's degree in engineering, computer science, mathematics, economics or relevant field
Nice-to-haves
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience with AWS solutions such as EC2, DynamoDB, Redshift, Glue, S3, Athena, Lambda, and SageMaker
- Experience in data mining, modeling, and warehousing using databases in a business environment with large-scale, complex datasets
- Scripting experience (Python) to process data for modeling
- Experience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutions
Benefits
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
