Business Intel Engineer Amazon Pharmacy Operations Data Team

Innovation is at the core of what we do. We believe that by removing and reducing the barriers that prevent people from taking their medications we can help customers conveniently get the medications they need when they need them and take them as prescribed. We have provided customers with the ability to find transparent and simple pricing receive 24/7 customer service support and have their meds delivered to their doorsteps while creating programs and products that embody our mission and position ourselves in becoming the worlds safest and fastest online pharmacy.

We are looking for a BIE to join us on our journey to make it drastically easier for customers to find choose afford and engage with the services products and professionals they need to get and stay healthy!

Key job responsibilities
You know and love solving problems using data working with business intelligence tools can build ETL pipelines statistical models using multidimensional data sets and can partner with business owners to answer key questions. You are analytical innovative creative disruptive and you dont give up. In this role you will have an opportunity to launch new features in our data lake from scratch add new products to our inventory influence targeting strategy for our products implement end to end reporting solutions and support product managers in their day to day testing and business needs.

1. Partner with Pharmacy business tech and data science leadership to define and deliver a worldclass data infrastructure supporting Amazon Pharmacys continued growth and our mission to be Earths Best Pharmacy.
2. Architect scalable and resilient data solutions for real time and batch processing. Build selfservice business intelligence infrastructure for Amazon Pharmacy analytics users
3. Partner with Business Intel Engineers Software Development Engineers Data Engineers Product Managers and other tech teams to invent design and build data solutions that are stable and performant.
4. Help your team evolve by actively participating in the code review process design discussions team planning and metric reviews
5.. Make recommendations for new metrics techniques and strategies to improve campaign targeting and measurement.
6. Improve Amazon Pharmacys capabilities/products and help business owners uncover hidden opportunities using data analytics and machine learning.
7. Provide adhoc and automated access to large data sets.
8. Understand business and product strategies goals and objectives. Set the analytics roadmap to drive the goals of the business.
9. Own the analytics for one or more product areas lead planning and delivery of projects for that area(s) manage stakeholders and internal customer/client needs/requests

About the team
We accelerate business insights and datadriven innovation by providing trustworthy intuitive ontime and costefficient analytics and data engineering solutions.

To accomplish our vision:

1. We provide data warehousing solutions for the undifferentiated heavy lifting that Amazon Pharmacy teams must engage in to work with data.
2. We identify and capitalize on opportunities for privacy and security improvements cost reduction and greater organizational efficiency
3. We continuously look ahead to identify common patterns in analytics and pave the road for Amazon Pharmacy teams to quickly and easily solve business objectives and derive insights from data using native AWS solutions wherever possible and finally
4. We surface key performance indicators for product and process improvements spanning across various pharmacy departments.

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 one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. ttest Chisquared)
Experience with scripting language (e.g. Python Java or R)
Bachelors degree

Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis

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.

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 for more information. If the country/region youre applying in isnt 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 $74100/year in our lowest geographic market up to $165600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.