Amazon Senior Business Intelligence Engineer Performance 

United States, Massachusetts 

255610360

Key job responsibilities
You will work cross-functionally with other data, product development, and customer support teams throughout the organization to deliver projects aimed at characterizing, monitoring, and improving the performance of our robotic automation technology across all of Amazon's network including Fulfillment Centers, Sortation Centers, and Air Gateways. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving data white-papers and automated data visualizations to influence the development and deployment of cutting-edge robotic technology. You will work with Data Scientists, Data Engineers, and Product Managers to define and deliver world class data manipulation tools and insights to shape the robotic technology landscape.A day in the life
• Engage with management and diversified customer groups to learn the needs and recommend business intelligence solutions.
• Partner with data and operations teams to define the scope of data elements and data structure that the team should leverage to enable capabilities.
• Design, implement, and work with platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users)
• Own the design, development, and maintenance of ongoing metrics, reports, dashboards, etc. to drive key business choices.
• Make recommendations for new metrics, techniques, and strategies to improve causal attributions.
North Reading, MA, USA

- Master's degree in statistics, data science, or an equivalent quantitative field
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- 8+ years of relevant experience in areas such as data analytics, data science, data modeling, and statistical analysis and modeling.
- Expertise in storytelling with data and drafting data-rich narratives that can influence decision-making by the support teams and leadership.
- Experienced in leading analytics team and mentoring/coaching junior team members