At Amazon, we use data analytics to understand and serve our customers better. Our goal is to anticipate and solve customer issues before they arise, using device and digital service data to identify pain points and improve our products daily.
The Device, Digital & Alexa Support (D2AS) team focuses on Amazon's rapidly growing product lines. Since 2007, we've expanded from the Kindle e-reader to a range of devices including:
- Fire tablets.
- Fire TV and Fire TV Stick for streaming media.
- Amazon Echo and Alexa-enabled devices for voice-controlled smart homes.
These products offer customers access to millions of books, movies, TV shows, apps, and skills, with new features constantly being added.
The Device, Digital and Alexa Support (D2AS) function is looking for a motivated individual with proven analytical skills and practical experience to join the Product Analytics team as a Business Intelligence Engineer. We are looking for an expert who can build and analyze data systems, spot important business pattern, create metrics that measure success and develop ways to validate our findings.
This role combines technical skills with business insight. You'll use your experience in Business Intelligence (BI) to help us make smart, data-driven decisions. Your work will directly impact our ability to serve customers better and grow our business.
Key job responsibilities
- Engage closely with Engineers, Scientists, and Data Engineers on developing BI/analytics solutions to support customer facing CS products.
- Support A/B experiment feature testing and analysis.
- Build and analyze key metrics to uncover trends and root causes of issues.
- Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.
- Help define requirements around customer service interactions and establish actionable actionable insights.
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:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
The D2AS Product Analytics team is responsible for supporting a broad suite of customer and associate facing technical products. ChatBot, Forums, Screen Sharing, Dynamic Troubleshooting, Help App and Diagnostic Data Tools are built and maintained to help our customers get the help they need as efficiently as possible.
The Product Analytics team contributes to this success by providing data, analysis and dashboard solutions to inform strategic product development and tactical feature rollouts. The team work closely with partners in Data Science and Data Engineering teams to feed new insights and features to our predictive ML solutions.

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 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.