Become a part of our caring community and help us put health first
 

Humana is dedicated to transforming health outcomes of Medicaid members using Humana’s technology and analytics. The Humana Enterprise Operations Enablement (EOE) - CPSS Data & Analytics – BI (Business Intelligence) team is a high performing team focused on data management, data visualization and data science supporting Humana’s Service Operations.

The Data & Analytics team is seeking a Manager, Business Intelligence to solve complex business problems and issues for the Medicaid organization using data from internal and external sources to provide insight to decision-makers. The Manager, Business Intelligence works within specific guidelines and procedures; applies advanced technical knowledge to solve moderately complex problems; receives assignments in the form of objectives and determines approach, resources, schedules, and goals.

The Manager, Business Intelligence will lead a team of engineers who will design and develop data models, create data visualizations, describe the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business insights into actionable plans. Decisions are typically related to resources, approach, and tactical operations for projects and initiatives involving own departmental area. Requires cross departmental collaboration and conducts briefings and area meetings; maintains frequent contact with other managers across the department.

KEY ACCOUNTABILITIES

• Lead a team of Senior and Professional level Business Intelligence Engineers through the various stages of inquiry resolution to include root cause analysis, impacts, action planning and execution. This will include documentation and tracking progress, producing adequate responses, and providing support for the Medicaid business 

• Analyze Medicaid data to solve a wide variety of business problems and create data visualizations that drive strategic direction utilizing healthcare and other related data, provide clear and concise analysis and recommendations to senior leadership.

Use your skills to make an impact
 

Required Qualifications

• Minimum 5 years of technical experience in data analysis

• Minimum 3 years of experience in SQL development

• Advanced experience working with big and complex data sets within large organizations

• Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction

• Proficiency in understanding Healthcare related data

• Proficiency in verbal/written communication to senior and executive leadership

• Must be passionate about contributing to an organization focused on continuously improving consumer experiences

• Must be able to accommodate business hours according to Eastern Standard Time

• Experience in building and maintaining visualization suites that support a wide array of business customers

• Demonstrated experience in developing and mentoring junior staff members

• Maintain availability outside standard business hours based on business need

Preferred Qualifications

• Bachelor’s Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field

• Minimum 2 years of leadership experience (team(s) up to 10 people) managing direct reports

• Experience analyzing Medicaid Enrollment and Membership data including 834 file processing

• Experience with tools such as Power BI, Tableau and/or Qlik for creating data visualizations

• Expertise in data mining, forecasting, simulation, and/or predictive modeling

• Experience creating analytics solutions for various healthcare sectors

• Experience in cloud computing (Azure preferred)

• Experience managing workloads via Azure DevOps

• Professional experience with Azure DevOps, GIT, NuGet, CI/CD processes and Agile methodologies

• Hands on experience working with agile/scrum methodologies including user story grooming, sprint planning etc. to deliver high quality software solutions improving team velocity and speed to market

• Experience with Data Warehousing (Azure/SQL/Synapse) and ETL (Azure Data Factory/SSIS)

Additional Information

Work Style: Remote
 
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