Description
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and self-driven people. Amazon’s ‘WHS Compliance Assurance’ team is seeking analytical and detail-oriented candidate. As part of the team, the Snr. Associate will analyze WHS metrics, troubleshoot issues, and communicate the findings effectively across different teams. An ideal analyst is one who enjoys discovering and solving complicated problems, can quickly learn complex systems, likes to work with numbers, and takes pride in organizing and communicating their work.
Key job responsibilities
• Monitor the KPIs and performance of the improvement initiatives in Central Program team
• Dive Deep into injury/illness records and capture the non-conformances against the regulatory requirements
• Ability to pull data and perform ad-hoc reporting and analysis with guidance
• Document processes & regularly update existing SOPs. Review & suggest SOP changes required if any to the team basis input from stakeholders.
• Handle various set of daily, weekly and monthly business reports.
• Onboard new processes if required as per the business needs.
• Deep dive into massive data sets to answer key business questions
• Continual, tactical communication with stakeholders
We are open to hiring candidates to work out of one of the following locations:
Bangalore, KA, IND
Basic Qualifications
Bachelor's degree
Speak, write, and read fluently in English
Experience with Microsoft Office products and applications
2+ years of manufacturing, process or warehousing with professional experience in analytics, measurement & experimentation, statistical data analysis, or comparable experience
Advanced working knowledge of Excel Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
Proven problem-solving skills
Proven track record of taking ownership and driving results
Ability to deal with ambiguity and competing objectives in a fast-paced environment
Preferred Qualifications
Advanced working knowledge of data mining
Experience building dashboards, reports, or tools through technologies such as QuickSight, Tableau etc.