Amazon’s eCommerce Foundation (eCF) organization provides the core technologies that drive and power Amazon's Stores, Digital, and Other (SDO) businesses. Millions of customer page views and orders per day are enabled by the systems eCF builds from the ground up. CloudTune, within eCF, empowers growth and business agility needs by automatically and efficiently managing AWS capacity and business processes needed to safely meet Amazon’s customer demand. CloudTune serves its primary customers, internal software teams, through forecast driven automation of cost controllership, capacity management and scaling. We predict expected load, and drive procurement and allocation of AWS capacity for new product launches and high velocity events like Prime Day and Cyber Monday.

CloudTune, in partnership with Region Flexibility, is driving an SDO-wide program to diversify our use of AWS regions beyond DUB, IAD, and PDX regions. The objective of the Diversify AWS Region Usage (DARU) program is to mitigate the risk of capacity concentration by encouraging teams to design workloads that are region-flexible, utilize AWS automation such as Flexible Fleets to access multiple capacity pools, and optimize workload placement so SDO efficiently utilizes AWS. This is a strategic, highly visible, multi-year program which spans all Amazon business.

We are looking for an experienced Sr. Business Intelligence Engineer to join our forecasting team and support DARU program. In this role, you will be working with scientists, software engineers, data engineers, and product managers on a variety of important applied machine learning problems in the area of time series modeling. You will lead the analytics function of our forecasting systems and models. As a Sr. Business Intelligence Engineer, You will be responsible for designing, building and maintaining data infrastructure, creating automated reporting and dashboards, designing and measuring experiments, and executing complex analysis to support business functions.

Key job responsibilities
* Engage with leadership and diversified functional groups to understand the needs and recommend business intelligence solutions.
* Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key insights and business decisions.
* Automate and simplify self-service or reporting pipelines, including improving ETL workflows, automatic alarming and performance tuning.
* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
* Make recommendations for new metrics, techniques, and strategies to improve business KPI's
* Use analytical and statistical rigor to identify performance gaps and opportunities