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Fulfillment Optimization (FO) owns products and services that plan and execute First Party (1P) and 3P fulfillment resources for the outbound fulfillment network WW. This includes designing network topology, coordinating resource planning for inventory, labor, planes and trucks, and utilizing these resources optimally by being aware of the network’s true capacity, constraints, and capabilities. We provide fast, accurate and optimized delivery promises, identify the optimal fulfillment plans, and will orchestrate XXB shipments in 2025 to efficiently leverage outbound fulfillment capabilities.
Key job responsibilities
Analyze historical data to identify trends and support decision making, including written and verbal presentation of results and recommendationsMine and manipulate data from database tables, simulation results, and log filesIdentify data needs and drive data quality improvement projectsProvide thought leadership on data mining and analysisA day in the life
Conduct deep dives into anomalies and generate insights for leadership and product managementUse customers inputs to define new data requirementsExplain plan-over-plan differences or discrepancies between expected and actual performanceMaintain dashboards and reporting, and address any data quality issues that arise
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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