Purpose and Overview
Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments.
Responsibilities
- Daily/ weekly/ monthly Research activities: Data mining and understand the reasons for Quality Defects
- Prepare and publish daily/ weekly/ monthly reports on inventory quality ( IRDR/ Large adjustments/ Unmatched X, Top20 reports/ HRV adjustments etc)
- Bin Management and control ( creation/ addition/ deletion/ bin locks)
- Conduct daily training and also will be responsible to conduct daily skill huddles
- Quality Feedback to associates
- Stand-in for Process Associate and the Area Manager.
Research Analysts should work mostly in the operational floor.
Requirements
Skills Required
- Knowledge of problem solve tools
- Good in SQL Queries, math and data analytics
- Proficiency in MS Excel ( knowledge of macros is an added advantage)
Basic Qualifications
- Graduate or equivalent with min 3-5 yrs experience with good knowledge in Excel.
- Basic knowledge in SQL.
- Experience in an analytical role in the Quality Assurance function preferred.
- Business analysts in any of the Amazon teams who have a flair for data crunching and generating innovative reports that drive actions
- Prefer candidates with similar experience in Tier1 Auto-component/ Automotive Manufacturing/ Electronics Industry
Preferred Qualifications
- Experience in troubleshooting/ problem-solving desired
- Strong analytical, math, data analysis, listening & communication skills. Capable to handle team.
- Experience in analyzing shop-floor processes and trends and recommending improvements
- Knowledge of SQL. (Understanding logic of data pull and writing basic queries to pull multiple data for analysis purpose.
