Sr Business Intel Engineer, Amazon Pharmacy

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 world’s safest and fastest online pharmacy.

We are looking for a Senior Business Intelligence Engineer 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!

#everydaybetter

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 don’t 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 world-class data infrastructure supporting Amazon Pharmacy's continued growth and our mission to be Earth's Best Pharmacy.
2. Architect scalable and resilient data solutions for real time and batch processing. Build self-service 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 Pharmacy's capabilities/products and help business owners uncover hidden opportunities using data, analytics and machine learning.
7. Provide ad-hoc 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, execution and delivery of projects for that area(s), manage stakeholders and internal customer/client needs/requests

About the team
We accelerate business insights and data-driven innovation by providing trustworthy, intuitive, on-time and cost-efficient 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.

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

Boston, MA, USA | Seattle, WA, USA

Basic Qualifications

- Experience building measures and metrics, and developing reporting solutions
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Completed Bachelor's degree

Preferred Qualifications

- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.

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