Business Intelligence Engineer, Selling Partner Services Agent Development

The Selling Partner Services Agent Development team is the training and development organization tasked with understanding the needs to hire and develop Global Seller Support Associates and Risk Investigators to support our Sellers, Vendors, and Buyers in our Amazon.com marketplace. The AD Optimization and Measurement (ADOM) team strives to ensure agents' capability to deliver the best outcomes for Amazon Sellers and Buyers by measuring and optimizing learning efficacy throughout their continuous development journey. We are a team of Researchers, Analysts, and Engineers who source and organize the right data to empower our learning experience designers and training partners to effectively measure and optimize the learner journey.

Key job responsibilities

As an Amazon Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you'll be creating for our customers.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. Candidate is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. Candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team.

BASIC QUALIFICATIONS

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

- 4+ years of experience working with cross functional teams.

- Advanced experience with Business Intelligence technologies like Tableau, MicroStrategy, Quicksight, etc.

- Advanced experience in SQL

- Demonstrated strength in data modeling, ETL development, and data warehousing.

- Advanced expertise in Excel

- Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

- Strong verbal/written communication & data presentation skills, including an ability to effectively develop and communicate clear, thoughtful, and comprehensive analyses.

PREFERRED QUALIFICATIONS

- Master's degree in Computer Science, Mathematics, Information Systems and related field and 5+ years industry experience.

- Experience with programming tools (Python, R, etc.) to create custom applications based upon analytical needs.

- Experience in statistical analysis (e.g. ability to conduct analyses using regression, modeling, forecasting approaches, and related tools)

- Experience in managing and prioritizing a project backlog.

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.

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.

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