Business Intel Engineer II, Amazon, Amazon

Business Intel Engineer II, Amazon, Amazon

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

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

1. Apply your deep analytic and business intelligence skills to extract meaningful insights from large and complicated data sets
2. Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and/or scripting
3. Design, develop, and implement scalable, automated infrastructure for data extraction, processing, computation, and delivery
4. Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications
5. Work closely with data engineering, product management, and business stakeholders to deliver features to customers
6. Learn new technology and techniques to meaningfully support product and process innovation
7. Help drive new initiatives and data integration projects

Key job responsibilities:

• Analyze and visualize transaction data to determine customer behaviors and output solid analysis reports with recommendations
• Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also, manage the implementation of those recommendations
• Develop metrics that help support product category growth and expansion plans

Minimum Requirements:

• 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
• Experience with forecasting and statistical analysis
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
• 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 Amazon Disability Accommodation Page .

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 Amazon Employee Benefits Page . This position will remain posted until filled. Applicants should apply via our internal or external career site.