Business Intelligence Engineer II, Amazon Health Science & Analytics

$89,600 - $185,000/Yr

Amazon.com Services LLC - A57 - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

About the position

The Business Intelligence Engineer II at Amazon Health Science & Analytics is responsible for delivering analytic insights to enhance value-based care initiatives, improve healthcare outcomes, and empower clinical and business leaders. This role involves collaborating with cross-functional teams to analyze diverse data sets, develop metrics, and create reports and dashboards that democratize data access for non-technical audiences. The position requires strong analytical skills, effective communication, and the ability to drive results despite challenges.

Responsibilities

• Support the value-based care business with claims centered analytics concerning utilization, network performance, cost and quality drivers, and program evaluation
• Use diverse clinical, claims and financial data sets to assess the opportunity size of initiatives, identify key metrics and communicate insights through presentations and dashboards
• Partner with cross-functional teams across the company to identify new opportunities to deliver high-quality healthcare to patients, increase operational efficiency, and drive growth
• Play integral role in the creation and evolution of real-time risk adjustment factor prediction models in coordination with data engineering
• Evaluate risk score changes and their potential business impact
• Develop metrics for operational and claims completeness processes impacting Medicare risk
• Work with Senior Health clinical leadership to conduct exploratory analyses to inform the design of EMR tools to support accurate documentation and coordinated care for our senior members
• Champion the practice of making data-informed decisions by performing strategic investigatory analyses to inform how we prioritize the value-based care product roadmap
• Create reports and dashboards to democratize access to data, such that non-technical audiences can easily leverage it
• Work closely with data engineers to define data processing needed for claims and EMR data
• Partner with product managers, data engineers, and other data teams to manage downstream impact of underlying data changes
• Support data platform migration efforts by assisting in the transition of existing data structures and dashboards from legacy systems to new systems
• Provide user support for business intelligence tools

Requirements

• 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 in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Nice-to-haves

• 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
• Proficiency in Python
• Experience in analytics in healthcare
• Experience with diverse datasets, including claims, payor, and medications datasets

Benefits

• Medical, financial, and other benefits
• Equity and sign-on payments as part of total compensation package