Amazon · 1 month ago
BI Engineer, Healthcare, Finance Operations, Global Data Analytics
Arlington, Virginia, USA
Full-time
Onsite
Mid, Senior Level
$90K/yr - $185K/yr
5+ years expAmazon is a leading global company, and they are seeking a Business Intelligence Engineer for their FinOps Healthcare Data and Analytics team. The role involves delivering engineering excellence in data visualization, developing pipelines, and building analytics solutions to support strategic business objectives and process outcomes.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Support the organization's strategic business objectives, process outcomes and decisions by analytical insights
Collaborate with business leaders and users to optimize data-driven business processes
Provide reliable, accurate, timely reporting for operations activities and leadership decision making
Design and implement complex, scalable, and high-performance data pipelines and models
Collaborate cross-functionally with technology teams, such as data engineers and data scientists, to define and deliver BI solutions
Build reports and dashboards using Amazon QuickSight
Use advanced analytics techniques, such as statistical analysis and predictive modeling, to uncover hidden patterns, trends and opportunities
Implement AI-powered self-service analytics tools
Identify, evaluate, and implement automation opportunities, incl. AI technology; continuously enhance analytics while reducing manual effort
Represent the BI function in business reviews and provide data-driven recommendations to business and process leaders
Qualification
Required
5+ years of SQL, ETL or Oracle experience
3+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of developing automated reporting 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
Preferred
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
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
The Motley Fool
2026-01-09
2026-01-09
2026-01-09
Company data provided by crunchbase