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Description

If you're interested in analytics and want to work on a team that builds solutions directly impacting millions of customers worldwide, this job is for you!

Amazon revolutionized customer service AND 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 properties, from the 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 on the Product & Analytics Team.

As a BIE, you will develop strategic reports, design user interfaces (UIs), and drive projects that support and influence the decision-making of the D2AS Product and Business teams. You will continuously learn new systems, tools, and industry best practices to build solutions that help our team automate and accelerate analytics. You will work with a team of analytics professionals who are passionate about using data to solve problems that matter to our customers.

A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). Candidates for this role should be skilled in database design, be comfortable dealing with large and complex data sets, and have experience building self-service dashboards using visualization tools like Tableau or AWS quicksight. Strong analytical and communication skills are essential.

Key job responsibilities

• Own the design, development, and maintenance of ongoing data pipelines, metrics, dashboards, and analyses to drive business decisions.

• 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 own ad-hoc deep dive investigations into existing customer journeys to identify root causes of issues and surface improvement opportunities.

• 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.

About the team

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.

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:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

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 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

Preferred Qualifications

- 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 large-scale, complex datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.