Business Intel Engineer II, Amazon, Amazon

Business Intel Engineer II, Amazon, Amazon

Job ID: 2692977 | Amazon.com Services LLC

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 and 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 skill to extract meaningful insight 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 such that you can meaningfully support product and process innovation
7. Help drive new initiatives and data integration projects.

Key job responsibilities

1. Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation
2. Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.
3. Develop metrics that helps support product category growth and expansion plans

BASIC QUALIFICATIONS

1. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
2. Experience with data visualization using Tableau, Quicksight, or similar tools
3. Experience with data modeling, warehousing, and building ETL pipelines
4. Experience in Statistical Analysis packages such as R, SAS, and Matlab
5. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
6. Experience with forecasting and statistical analysis
7. Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

PREFERRED QUALIFICATIONS

1. Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
2. 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.