Amazon
Description
As a Business Analyst II on the Amazon One Medical At-Risk team, you will be the data insights engine that powers both new program launches and operational improvements. In line with Amazon's data-driven culture, you will partner with Program Managers to evaluate new capabilities and with Operations Excellence Managers to measure process effectiveness.
This role requires strong analytical capabilities, healthcare domain knowledge, and the ability to translate complex data into actionable insights that drive decision-making across the organization. This role offers the opportunity to drive data-informed decision making that shapes both new program development and operational excellence, directly contributing to Amazon's data-driven approach in transforming healthcare delivery.
Key job responsibilities
• Lead complex analysis efforts using healthcare data (EMR, claims, clinical quality) to inform strategic decisions and program design
• Develop and maintain dashboards and metrics to track both new program effectiveness and operational performance
• Partner with Program Managers to define success metrics for new initiatives
• Collaborate with Operations Excellence Managers to identify and quantify improvement opportunities
• Design and implement data governance processes to ensure accuracy and reliability
• Conduct predictive modeling and impact analyses for proposed initiatives and process changes
• Build scalable reporting solutions that can be replicated across markets
• Make trade-off decisions regarding analytical approaches and resource allocation
• Present complex analytical findings to senior stakeholders in clear, actionable terms
Basic Qualifications
5+ years of business analyst, data analyst or similar role experience
Experience with data visualization using Tableau, Quicksight, or similar tools
3+ years of healthcare analytics experience
Advanced SQL skills and experience with large datasets
Experience with EMR data, claims data, and clinical quality metrics
Effective communication across diverse teams and functions
Preferred Qualifications Master's degree in a quantitative field (e.g., Data Science, Biostatistics)
Experience with machine learning and predictive modeling in healthcare
Strong understanding of value-based care models and risk adjustment
Proven track record of translating analysis into business recommendations
Experience with Amazon Web Services (AWS) analytics tools
Requirements gathering and translation
Data visualization and storytelling
Stakeholder management and influence
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,900/year in our lowest geographic market up to $143,100/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.
#J-18808-Ljbffr
Experience with data visualization using Tableau, Quicksight, or similar tools
3+ years of healthcare analytics experience
Advanced SQL skills and experience with large datasets
Experience with EMR data, claims data, and clinical quality metrics
Effective communication across diverse teams and functions
Preferred Qualifications Master's degree in a quantitative field (e.g., Data Science, Biostatistics)
Experience with machine learning and predictive modeling in healthcare
Strong understanding of value-based care models and risk adjustment
Proven track record of translating analysis into business recommendations
Experience with Amazon Web Services (AWS) analytics tools
Requirements gathering and translation
Data visualization and storytelling
Stakeholder management and influence
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,900/year in our lowest geographic market up to $143,100/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.
#J-18808-Ljbffr