Job Description

• Bachelors or Master in Engineering/Math/Statistics
• Have 2+ years of experience in Analytics
• Have strong expertise Tableau / QuickSight, or any other visualization platform
• Proficient in R/SQL/Python or any other query language (or Programming language)
• Be well-versed with statistical concepts, with ability to operate across the entire analytics value chain
• Have strong business acumen, matched equally with an exceptional analytical ability
• Be a passionate problem solver, and thrive in ambiguity
• Have experience in conceptual data modelling
• Be a superb story-teller, with equal comfort in communicating with technical and business audience
• Be a fast learner, with ability to navigate across different functional domains
• Have strong attention to detail and an ability to work in a fast-paced and ever-evolving environment

Job summary Safety is paramount for Amazon. In his 2020 Letter to Shareholders, Jeff Bezos has included a commitment on making Amazon Earth’s Safest Place to Work. Workplace Health and Safety (WHS) organization is helping Amazon fulfill this commitment. And at WHS-Tech, we are exploring possibilities for technology to influence this course. From using devices to monitor and improve environment/health, to linking together data from our buildings and devices to plan safety-related events—the opportunity set is huge for us to further enhance the safety and wellbeing of our associates. Our team seeks to reinvent the way Amazon anticipates, assesses, and manages workplace hazards and risks. So, if creating industry-first products and solutions interests you, then this is the team for you. We are looking for a Business Intelligence Engineer (BIE) for the Safety Performance Insights (SPI) group. SPI has two broad goals: 1. Set up tracking and measurement of field safety programs 2. Develop insights and recommendations around program design and targeting that can boost program performance (and Safety) As a part of SPI, you would identify the metrics and the dimensions that provide deep insights into program performance. You would also partner closely with the business to define the scope and the roadmap for the analysis, with an eye on both short term asks and long terms needs from a BI standpoint. You would partner very closely with Data Engineering teams to design the required data assets. And where needed, you will partner with other business teams to study the cross-effects of safety programs on other business areas and processes.

• Familiarity with theory and practice of Machine Learning
• Familiarity with Operations and/or Industrial Safety