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Description

Amazon Grocery is seeking a Business Intelligence Engineer (BIE) who is passionate about data. Our team, seeks to develop solutions that increase the speed and quality of decision-making through analytics, automation and reporting. In this role, you will drive Grocery Instock & Shrink analytics and developing insight driven tooling.

To be successful in this role, you must have a high capacity to Learn and Be Curious adapting to the latest changes in the business, systems, tools, and techniques for extracting, processing, analyzing, modeling, and taking action on data. The ideal candidate will be a self-starter, highly analytical, consistently think in terms of automation, and intensely detailed with a strong customer focus to drive strategy in a fast-paced environment with limited supervision. The ideal candidate shows good judgment in making technical trade-offs between short term and long-term business needs and demonstrate the ability to drive issues to completion.

As a BIE on our team you will focus on exciting and challenging problems, including:

Apply your deep analytic and business intelligence skill to extract meaningful insight from large and complicated data sets

Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and/or scripting

Design, develop, and implement scalable, automated infrastructure for data extraction, processing, computation, and delivery

Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications

Work closely with data engineering, product management, and business stakeholders to deliver features to customers

Learn new technology and techniques such that you can meaningfully support product and process innovation

Help drive new initiatives and data integration projects

Basic Qualifications

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

- Experience with data visualization using Tableau, Quicksight, or similar tools

- Experience with statistical analysis, co-relation analysis

- Experience with data modeling, warehousing and building ETL pipelines

- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

- Master's degree, or Advanced technical degree

- 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 $74,100/year in our lowest geographic market up to $165,600/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.