Sr Business Intel Engineer, PXT Finance - ML Forecasting and Core Engineering

We are looking for an Sr Business Intelligence Engineer to push the boundaries of machine learning and simulation at Amazon scale and help build a scalable, predictive, and prescriptive business analytics platform that support our Finance stakeholders. As a member of People Experience Technology and Finance, you will help drive adoption, curate business drivers out of ML forecasting and prediction related improvements by delivering state-of-the-art analytics system in collaboration with multiple Amazon science and data engineering teams. Candidate should be passionate about technology, innovation, and customer experience, and is ready to make a lasting impact on the ML driven solutions and business intelligence. You'll be working with talented scientists, engineers, and product and finance managers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey and change the world of distributed simulations for population dynamics forecasting and expense planning.

Key job responsibilities
Develop and implement scalable and reliable analytics, tools, KPI dashboards, and metrics that drive key supply chain, financial, and procurement decisions.
Design and implement metrics dashboards to deepen understanding of cost structures, HC and Stock based compensation models, and variances highlighting opportunities for improvement.
Collaborate with Finance, Cost and Account teams, and Engineering to capture requirements and deliver analytics solutions.
Develop and implement analytics to continually improve continuity of HC and expense drivers and operational efficiencies.
Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders.
Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users.
Interface with Data Engineers, Business Analysts and stakeholders to deliver complete BI solutions.
Employ data mining, segmentation, and other analytical techniques to capture important trends in the Finance, cost, and customer base.
Participate in strategic and tactical planning discussions to interface with business customers, gathering requirements and delivering complete reporting solutions.

A day in the life
You will have a passion to dive deep, a high level of customer focus and a track record in process improvement. This role requires an individual with excellent analytical abilities, strong knowledge of
business intelligence solutions and the ability to work with Finance, quantitative and business teams. You will lead multiple automation and controller-ship initiatives across the Finance org. You will
be primarily using but not limited to AWS solution stacks like Amazon Q, Sagemaker, Redshift, S3, Glue, Lambda, Data pipeline and reporting tools such as QuickSight, Tableau and GenAI stack to implement BI solutions for Amazon Leadership team.