Senior Bie, Vendor Experience
il y a 3 jours
Degree in Engineering, Finance, Computer Science or a related technical field.
- Minimum of 5 years of relevant experience in advanced data analysis, applied data science or a related field.
- Solid economics analysis skills.
- Solid experience working with large/disparate data sets, and with experimental design using data analysis languages (e.g., SQL, R, Python, SAS, Spark, etc.).
Job summary
Key job responsibilities
Our team is looking for an experienced Senior Business Intelligence Engineer with experience in quantitative analysis, econometrics, applied statistics, and/or machine learning to dive deep into business problems, detect vendor’s paint points and measure their impact on their engagement with Amazon. This role will help execute a long-term vision of data-driven Vendor Experience analysis through data exploration, correlation analysis, benchmarking and survey analysis. Output will be used by various teams including finance ops, supply chain, support to improve vendor’s experience and their ability to partner with Amazon.
A day in the life
- Deep dives into vendor segmentation, behavior and satisfaction
- Leverage techniques from econometrics, computer science and statistics to measure vendor experience and its impact on their engagement and economics
- Drive development of tools, reporting improvements, and automation, and create new innovative and insightful reports.
- Support the functional teams with ad hoc data requests and analytical needs.
- Partner with other science leaders throughout Amazon to effective solutions.
- Phd in econometrics.
- 10 years experience in data analytics.
- Strong organizational and multitasking skills with ability to balance competing priorities.
- Comfort dealing with ambiguity.
- Ability to work effectively within an interdisciplinary science team of economists, applied scientists, software engineers, and data engineers.
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to non-technical audience.
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