Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing Amazon Web Services is looking for a Sr Business Intelligence Engineer to help build a scalable predictive and prescriptive business analytics platform that supports the AWS Infrastructure Supply Chain Finance (SCF) organization. You will be part of the Finance Analytics team working with Product managers Business Analysts and Data Engineers to achieve our goals.
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 controllership initiatives across the Finance org. You will be primarily using but not limited to AWS solution stacks like Redshift S3 Glue Data pipeline and reporting tools such as Tableau and Alteryx/KNIME to implement BI solutions.
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 capital spend and variances highlighting opportunities for improvement.
Collaborate with Finance Tax Supply Chain Procurement and Engineering to capture requirements and deliver analytics solutions.
Develop and implement analytics to continually improve continuity of supply and operational efficiencies.
Apply automation so that with every iteration on a problem you build your solution to have maximum scale and selfservice ability by stakeholders.
Understand a broad range of Amazons 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 supply chain cost and customer base.
Participate in strategic and tactical planning discussions to interface with business customers gathering requirements and delivering complete reporting solutions.
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.