Business Intelligence Engineer, Metrics Impact Science and Transformation (MIST)

Business Intelligence Engineer, Metrics Impact Science and Transformation (MIST)

Job ID: 2599385 | Amazon.com Services LLC
Job summary
How would you like to design new success metrics and dashboards and perform deep-dive analysis to help us better align customer service with the needs of our customers? How about building predictive models to help personalize the type of help we provide to our customers?

Our team is using machine learning and customer research to change the way we think about customer service at Amazon, and we are looking for a customer-focused BIE to help us make some large strategic changes to the organization.

Key job responsibilities
• Help design and implement a new set of success metrics to drive our entire organization.
• Design the dashboards, scorecards, and reporting necessary to drive adoption of those new metrics.
• Build predictive models to contribute to our personalized help strategy (we have senior scientists nearby to mentor as needed).
• Perform deep-dive analysis to better understand customer behavior.

A day in the life
“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
Our team exists to change the way we think about customer service. We use customer research and machine learning models to drive fundamental changes in the organization, and we are shifting the prevailing mindset from that of transactional efficiency to long-term relationship management. We are not afraid to take risks and try new things, but we also believe in taking the time to lay a solid foundation so we don't get stuck with massive tech debt later on.

Our team is geographically diverse and we have a supportive culture with lots of opportunity to grow and learn new skills.

We are open to hiring candidates to work out of one of the following locations:

Austin, TX, USA | Nashville, TN, USA | San Francisco, CA, USA | Seattle, WA, USA
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/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.
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February 16, 2024

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Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

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