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As a Lead BI Analyst on the Population Health Data Analytics team, you will work in a dynamic Data & Insights organization supporting analytics and reporting. Collaborating closely with business stakeholders, you will help define, design, and deliver business-critical analytics and operational reporting that enhances population health management initiatives.
Job Responsibility:
Design, develop, and implement data models and reporting solutions that meet business reporting and analytical objectives for population health management
Serve as the BI expert by collaborating across the enterprise and developing relationships with executives, stakeholders, and analytics teams
Lead the adoption of new tools and processes as they are rolled out
Support the long-term analytics and reporting strategy by establishing best practices and templates for data preparation and visualization
Manage the process for code reviews, including data and visualization reviews
Monitor and respond to enterprise reporting requests by applying healthcare expertise along with technical and analytic skills
Recommend ways to improve data reliability, efficiency, and quality
Support advanced analytics including predictive/prescriptive modeling to inform healthcare strategies
Coach and develop other BI analysts
Serve as the primary liaison between customers and Data Integration (DI) teams
Communicate data structure and metric requirements to DI counterparts
Develop interim data solutions
Proactively identify data quality issues
Utilize appropriate statistical and mathematical methodologies
Conduct thorough benchmarking and comparative analyses
Develop a comprehensive understanding of the data managed and reported by the DI department
Maintain Expertise in Technology Tools
Enhance Data Quality and Visualization
Commit to ongoing professional development
Lead Compliance with Data Governance
Implement Process Improvement Techniques
Participate in Collaborative Teams
Manage Multiple Assignments
Communicate Across All Levels
Perform Additional Duties as Assigned
Requirements:
Bachelor's Computer Science or Bachelor's Statistics or Bachelor's Business Informatics or Bachelor's Other
Minimum 8 years Experience working with and building complex datasets in a relational database environment using tools such as SQL Server, MS Visual Studio, MS Excel, Python, R, Alteryx, Azure, and other third-party data tools
Minimum 8 years Proven experience in creating highly effective data visualizations that meet business needs, demonstrating measurable impacts on business results using tools such as Tableau and Power BI
Minimum 5 years Hands-on experience with data warehouse architectures, data modeling concepts, and ETL design processes
Minimum 5 years Experience managing projects or leading initiatives related to data analytics or business intelligence
Commitment to ongoing professional development and staying current with emerging technologies and best practices in data analytics and business intelligence
Excellent verbal and written communication skills
Minimum 5 years Experience in the healthcare sector, with familiarity with healthcare data systems such as EPIC, Clarity, or EPIC Caboodle
Strong understanding of statistical analysis techniques and methodologies
Demonstrated expertise in writing efficient T-SQL queries and reports
Advanced skills working with relational database structures and concepts
Advanced skills working with data visualization tools including Tableau and Power BI
Familiarity with common statistically appropriate means of data and process analysis
Experience in data mining, data quality and data security
Ability to leverage critical thinking in all aspects of work product design and delivery
Strong attention to detail and accuracy and a sense of personal accountability
Self-motivated and well organized with strong time management skills and the ability to manage multiple priorities
Ability to work independently or in a team environment and act as a mentor to less experienced team members
Strong interpersonal communication skills and the ability to work well with all levels of the organization
Personal desire for continuous knowledge and skill growth and development
Nice to have:
Strong understanding of statistical analysis techniques and methodologies
Experience in the healthcare sector, with familiarity with healthcare data systems such as EPIC, Clarity, or EPIC Caboodle
A certification in data visualization tools would be preferred