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DER and ASR are used by downstream customers in AWS Finance, Accounting, Sales Operations, Segmentation & Planning (S&P), Data & Analytics and Compensation to set quotas, manage sales goals, forecast, and derive business insights.
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Support Sales Operations Leads, Analysts and beyond in analyzing usage data to derive new insights and fuel customer success. We are looking for an experienced Data Engineer with an uncanny ability to integrate multiple heterogeneous data sources to build efficient, flexible, and scalable data warehouse and reporting solutions.
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They will have the opportunity to work in a fast paced cloud sales organization within Amazon, using a vast warehouse of data to find actionable insight and key drivers behind the APOs most visible metrics.
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You will be the conduit between reporting logic in the greater AWS Organizations, whilst closely partnering with other APO BI Teams to tell the story of the APO within AWS. You will create trusted and clear data artifacts as well as act as a SME on the drivers behind trends in top line reporting and any actionable Insights sales teams may take in response.
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Amazon is seeking an experienced, self-directed machine learning data engineer to support the research and analytical needs of Amazon Web Services' Sales teams. Work with a team of business analysts, data scientists, and engineers to bring ML and statistics solutions to our Sales teams.
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This is a unique opportunity to invent new ways of leveraging our large, complex data streams to automate sales efforts and to accelerate our customers' journey to the cloud. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
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The AWS Sales, Marketing, and Global Services Operations (SMGS Ops) Revenue technology team is responsible for publishing Daily Estimated Revenue (DER) and monthly Amortized Sales Revenue (ASR.
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Ring Data Warehouse team manages the centralized data repository for Ring. We bring in and publish data from numerous internal and external sources, which are used by various stakeholders such as Ring Product engineering, Finance, Supply Chain, Marketing, Customer Support, and Sales information.
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BIEs in the CDI Team will work across multiple data functions and Sales personas interchangeably and exhibit an ability to communicate effectively with both technical and non-technical Amazonian’s.
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The Centralized Data and Insights Team (CDI) has an immediate need for a creative and driven Business Intelligence Engineer (BIE). The role requires excellent business and communication skills to work effectively with fellow BIEs, Operations leads and Sales stakeholders to consult as a reporting subject matter expert and provide innovative reporting solutions.
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