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Description

The Alexa Business Telemetry & Decision Science team (B-Tel for short) builds telemetry to report and analyze how customers engage with Alexa and how engagement translates to value for the business. Our products include metrics definition and instrumentation, data products consumed by Alexa BI and analytics teams, and models that predict trends and identify drivers of business outcomes. This Sr. Business Intelligence Engineer will help our Business Analytics Technologies (BAT) team to build, operate, and continuously improve tools for forecasting key Alexa customer metrics and extending our reach to support all Alexa, Entertainment, Devices & Services product lines.

If you want to be at the forefront of thinking holistically about Alexa customer engagement and how it drives long-term value for Amazon, this is the role for you.

Key job responsibilities

This role provides an opportunity to work with many internal business customers in a fast-paced

environment, understanding and defining the relationships between business metrics.

Specific responsibilities include:

• Develop data visualizations & dashboard designs that raise the bar and meet a wide range of customer needs

• Work cross-functionally with product managers, scientists, and engineers to architect the ETL pipelines underlying our products

• Dive deep into varied data sources to develop metrics systems, defining the relationships between metrics, and influencing forecasting strategy

• Build statistical models and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities

• Identify and recommend opportunities to automate processes

• Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases

• Clearly communicate discrepancies and downtime, including specific root cause, steps to resolve, and ETA to a large user base

• Manage multiple projects and proactively communicate issues, priorities, and objectives

A day in the life

• Interact with product leads to understand customer pain points & collaborate to design solutions that improve customers' experience

• Learn & teach a broad range of Alexa & Devices data sources

• Assess & simplify ETL pipelines & automation between teams

• Use AWS tools to build scalable infrastructure for retrieving data, running machine learning model, and vending results, with support from Data Engineering

• Create technical requirements for Software Engineering to develop browser-based analytical tools with best-in-class visualizations & fast data processing

About the team

Alexa Business Telemetry & Decision Science (B-Tel for short) is a cross-functional team of engineers, scientists, and product/program managers who deliver telemetry, models, and insights that help Alexa's business leaders make great decisions. We are a central service within Alexa, building products used by other Alexa teams to improve how they serve end customers. B-Tel is a collaborative team; while everyone has their primary focus, we all pitch in to help each other deliver as needed and grow as builders.

Basic Qualifications

• 10+ years of professional or military experience

• 5+ years of SQL 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 data visualization using Tableau, Quicksight, or similar tools

Preferred Qualifications

• Master's degree in statistics, data science, or an equivalent quantitative field

• Experience working directly with business stakeholders to translate between data and business needs

• Experience managing, analyzing and communicating results to senior leadership

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.