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Description

We are looking for a Business Intelligence Engineer (BIE) to drive the use of AI in analytics with high exposure to VP and SVP level business decision making support. In this role you will define and implement scalable processes, diving deep into the product and program metrics globally across multiple business units. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment.

Key job responsibilities

- Design and build AI tools that derive actionable insights from some of the world’s largest datasets

- Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks

- Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers

- Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements

- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

A day in the life

On a typical day you will:

- Work with non-technical stakeholders to understand what decisions they make and the information they need to make those decisions

- Work with BIEs and BAs to understand what data and information are available, where to find it, and how to interface with it

- Create a scalable AI solution that allows stakeholders to get the information they need to make their decisions, along with key insights and recommendations. The solution handles edge cases, never gives wrong information, and considers important business context

- Create mechanisms to ensure the AI solution is being fully utilized by all relevant stakeholders

- Create mechanisms to collect and analyze metadata about how stakeholders are using your solution

Basic Qualifications

- Experience programming to extract, transform and clean large (multi-TB) data sets

- Experience with AWS technologies

- Experience with theory and practice of information retrieval, data science, machine learning and data mining

- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.

- Experience in the data/BI space

- Experience creating AI-based tools to be used by non-technical stakeholders

- Bachelor's Degree

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs

- Experience managing, analyzing and communicating results to senior leadership

- Experience working as a BIE in a technology company

- Our ideal teammate possesses a natural curiosity, sharp analytical skills, and the ability to build automated tools.

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 $117,300/year in our lowest geographic market up to $202,800/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.