Business Intel Engineer, Amazon Pharmacy

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

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 analyzing metrics to implement business improvements