Data-Driven Decision Making Specialist
3 weeks ago
About the Role
Retail Business Services (RBS) supports Amazon's Retail business growth worldwide through three core tasks. These are (a) Selection, where RBS sources, creates, and enriches ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow; and (c) supports operational processes for WW Retail teams.
Our Team
We are a high-caliber team of software developers, applied scientists, data engineers, product managers, and Business Intelligence Engineers who use rigorous ML and deep learning approaches to ensure that we identify and fix the right catalog defects to provide a better shopping experience for our customers.
Your Responsibilities
- Experience working with large, multi-dimensional datasets from multiple sources
- Make recommendations for new metrics, techniques, and strategies to improve operational and quality metrics
- Proficiently use at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)
- Experience in the deployment of Machine Learning and Statistical models
- Good in product analytics
- Enable more efficient ad-hoc queries & analysis
- Work closely with research scientists, business analysts, and product leads to scale data
- Ensure consistency between various platform, operational, and analytic data sources to enable faster and more efficient detection and resolution of issues
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies
- Mentor the team on analytics best practices
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS, and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets
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