Description

　　Amazon Fresh Grocery is seeking a Business Intelligence Engineer (BIE) who is passionate about data, analytics, science, and automation. Our team, Retail BI, seeks to Invent & Simplify solutions that increase the speed and quality of decision-making through econometric research and models, business process automation, business analysis and reporting, and cloud computing infrastructure. In this role, you will have the opportunity to touch every aspect of our business from launch strategy to procurement to customer delivery experience.

　　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

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

　　Seattle, WA, USA

　　Basic Qualifications

　　4+ years of SQL experience

　　Experience building measures and metrics, and developing reporting solutions

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

　　Knowledge of data warehousing and data modeling

　　Bachelor’s degree in Business, Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field or equivalent experience

　　Preferred Qualifications

　　5+ years of SQL experience

　　Master's degree in statistics, data science, or an equivalent quantitative field

　　Experience in scripting for automation (e.g. Python) and advanced SQL skills.

　　Experience with AWS technologies

　　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 $104,300/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. Applicants should apply via our internal or external career site.