Do you want to work on a team where you are encouraged to build and have the autonomy to push boundaries Invention has become second nature at Amazon and the pace of innovation is only accelerating with expanding breadth of our business. Amazons growth requires leaders who move fast have an entrepreneurial spirit to create new products have an unrelenting tenacity to get things done and are capable of breaking down and solving complex problems.
The Supply Chain Optimization Technology (SCOT) Planning Optimization Team is looking for an experienced Sr. Business Intelligence Engineer to re-envision the Inbound (IB) space. In this role you will orchestrate novel product and science solutions across all verticals of Amazons IB business - building the right long-term infrastructure to offer first-in-class experiences to our Selling Partners Customers and internal stakeholders. This work is high visibility and will require close integration across all key verticals of our Supply Chain - building the right relationships ensuring timely delivery of complex solutions and building the right transparency and explainability mechanisms.
Key job responsibilities 1. Own cross-organization business intelligence development strategies their timelines and the deliverables. 2. Partner with product science engineering and business teams to develop the right long-term visualization and explainability needs. 3. Arbitrate product integration decisions across partner technical teams. 4. Synthesize complex technical implementation decisions for senior leadership audiences. 5. Drive technical strategy for data and BI infrastructure.
A day in the life Coordinate with cross-organization product science and engineering teams to execute complex technical roadmaps across core planning execution control forecasting and transactional accounting systems to improve Amazons IB network.
About the team The SCOT Inbound Planning team is responsible for S&OP planning technology. This scope includes planning optimization products which impact the entire business. The team is responsible for providing regular strategic guidance to senior leadership for short (S&OP) and long-term (CAPEX) operating plans.
- 5 years of SQL experience - 5 years of professional or military 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 theory and practice of information retrieval data science machine learning and data mining - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies
- Experience working directly with business stakeholders to translate between data and business needs - Experience managing analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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