Amazon BIE Manager SCOT-Fulfillment Network Planning 

United States, Texas, Austin 

198487200

Key job responsibilities
In this role you will…
• Collaborate with and influence a wide set of stakeholders, providing thought leadership, product expertise, and business insight.
• Work across Transportation teams, PMs, Engineers, Scientists, Finance, and SCOT teams to establish the network planning Analytics Roadmap.
• Interface with cross-functional teams to build centralized tools that will allow for rapid defect detection and repair.
• Partner with Engineers and Software Engineers to design products and systems to enhance explainability of various machine learning and optimization models.
• Explore/analyze and work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers
• Design and implement technical solutions with an appropriate analytics strategy and data set design; make technical trade-offs for long-term / short-term needs; and drive best practices in operational excellence, data modelling, and analysis. This role will likely be a good fit for you if you currently…
• Are energized by nuanced problem statements, navigating complexity with thoughtful analyses, and delivering crisp findings and recommendations to leadership teams.
• Looking around corners to proactively identify and build automated, scalable analytical solutions
• Use analyses to propose innovative and profitable initiatives to senior management/executives.
• Analyze and synthesize large streams across multiple inputs.
• Find and create ways to measure the customer experience to drive outcomes.
• Curious to identify patterns in and how they relate to the outcomes • Inspire high performance from your team, with your vision, energy, high standards and results.
* Manage, mentor and grow a team of BIEs and DEs

- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience