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 BI Engineer will help us understand customer behavior by designing new models to connect separate data, analyzing trends and anomalies for actionable insights, and reporting metrics needed for decision-making.

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 design the ETL pipelines underlying our products
• Dive deep into varied data sources to understand the relationships between metrics, surface insights, and implement new data models to make analysis scalable and repeatable
• Use statistical models and machine learning solutions with 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

A day in the life
In a typical day, an Alexa B-Tel BI Engineer might work to establish new metrics for an Alexa problem space, like segmenting customers by lifecycle stages, measuring subscription funnel conversions, or tracking engagement by Prime subscribers. The BIE would understand stakeholders’ business requirements and document in a BRD, explore data sources and validate accuracy and SLA performance, prototype a solution for technical review by fellow BIEs and DEs, and implement ETL pipelines to produce data for vending across Alexa.

Another typical project might be analyzing an anomaly in engagement metrics to determine whether the business should take action, or whether we might improve our metrics definitions or operations. The BIE would work independently to root cause the anomaly, understand business implications, and recommend a course of action through a crisp document for senior managers and directors.

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

– 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
– Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

PREFERRED QUALIFICATIONS

– Bachelor’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
– Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
– Experience with forecasting and statistical analysis

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 $89,600/year in our lowest geographic market up to $185,000/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.

USA, WA, Seattle