Job Information
Amazon Business Intel Engineer, Amazon Pharmacy in Seattle, Washington
Description
At Amazon Pharmacy, you will have the opportunity to make a tangible impact on both the company as well as the quality of our customers’ lives. We have a variety of roles of differing scope available across several teams and would love the opportunity to help you learn more about what’s available. Join our team and help create the future of medicine.
We are looking for a Business Intelligence Engineer to join our team. Working closely with partners from Product, Marketing, Finance, Engineering and Operations, you will develop reporting and insights solutions for the team's data and econometric models.
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.
You will also have the opportunity to display your skills in the following areas:
Interface with product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions.
Own the design, development, and maintenance of datasets, metrics, reports, analyses, dashboards, etc. to drive key business decisions.
Make recommendations for new metrics, techniques, and strategies to improve campaign targeting and measurement.
Improve Amazon Pharmacy's capabilities/products and help business owners uncover hidden opportunities using data, analytics and machine learning.
Provide ad-hoc and automated access to large data sets.
Understand business and product strategies, goals and objectives. Set the analytics roadmap to drive the goals of the business.
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
Key job responsibilities
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.
Architect scalable and resilient data solutions for real time and batch processing. Build self-service business intelligence infrastructure for Amazon Pharmacy analytics users
Work with BIEs/SDEs/other DEs to invent, design and build data solutions that are stable and performant.
Help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews
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:
We provide data warehousing solutions for the undifferentiated heavy lifting that Amazon Pharmacy teams must engage in to work with data.
We identify and capitalize on opportunities for privacy and security improvements, cost reduction, and greater organizational efficiency
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
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:
Austin, TX, USA | Seattle, WA, USA
Basic Qualifications
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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Preferred Qualifications
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
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience working with PHI/PII healthcare data and reporting.
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 $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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.