Amazon
Business Intelligence Engineer
Amazon, Seattle, Washington, us, 98127
Job ID: 2773036 | Amazon.com Services LLCIf you're interested in data, machine learning and want to work on a science and analytics team that builds solutions which directly impact millions of customers worldwide, this job is for you!
Amazon revolutionized customer service, now we are changing what customers expect from technical support. We’re responsible for the Customer Service operations and solutions for all Amazon Devices and Digital products, from Kindle and Echo, to Amazon Music and Prime Video.
We are looking for a motivated individual with strong technical / analytical skills and practical experience to join the Device, Digital and Alexa Support (D2AS) team as a Business Intelligence Engineer.
We’re looking for someone who possesses a solid Business intelligence (BI) engineering background, is familiar with maintaining large data sets, building the data needed for analyzing information, identifying key business insights, and working with stakeholders in generating the right metrics to measure success criteria.
You should be able to deal with ambiguity, anticipating bottlenecks and escalations, and setting realistic and ambitious expectations are all crucial to the success of our platform.Key job responsibilities
Work closely with the Product Managers, Scientists, Engineers, and Data Engineers on developing BI/analytics solutions to measure the performance of new and existing solutions (including ML models) and surface new opportunities for improvements.Build and analyze key metrics to uncover trends and root causes of issues and own ad-hoc deep dive investigations into existing customer journeys to identify root causes of issues and surface improvement opportunities.Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.Work with the D2AS stakeholders to migrate visualization tools to better adapt applications within the AWS ecosystem. In this effort, you will migrate existing dashboards, test, deploy and train users in the new visualization tool.A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Benefits summary
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanAbout the team
We at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate, evaluate, prevent, and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazon's digital products.
Our team combines strategic thinking, technology expertise, and customer experience best practices. This ensures customers can easily get the most value from Amazon's digital offerings. We focus on providing the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience.BASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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.
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Amazon revolutionized customer service, now we are changing what customers expect from technical support. We’re responsible for the Customer Service operations and solutions for all Amazon Devices and Digital products, from Kindle and Echo, to Amazon Music and Prime Video.
We are looking for a motivated individual with strong technical / analytical skills and practical experience to join the Device, Digital and Alexa Support (D2AS) team as a Business Intelligence Engineer.
We’re looking for someone who possesses a solid Business intelligence (BI) engineering background, is familiar with maintaining large data sets, building the data needed for analyzing information, identifying key business insights, and working with stakeholders in generating the right metrics to measure success criteria.
You should be able to deal with ambiguity, anticipating bottlenecks and escalations, and setting realistic and ambitious expectations are all crucial to the success of our platform.Key job responsibilities
Work closely with the Product Managers, Scientists, Engineers, and Data Engineers on developing BI/analytics solutions to measure the performance of new and existing solutions (including ML models) and surface new opportunities for improvements.Build and analyze key metrics to uncover trends and root causes of issues and own ad-hoc deep dive investigations into existing customer journeys to identify root causes of issues and surface improvement opportunities.Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.Work with the D2AS stakeholders to migrate visualization tools to better adapt applications within the AWS ecosystem. In this effort, you will migrate existing dashboards, test, deploy and train users in the new visualization tool.A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Benefits summary
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanAbout the team
We at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate, evaluate, prevent, and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazon's digital products.
Our team combines strategic thinking, technology expertise, and customer experience best practices. This ensures customers can easily get the most value from Amazon's digital offerings. We focus on providing the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience.BASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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.
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