Supervisor Analytics Developer
Indexed description
Work Shift:
Day Shift
Time Type:
Full time
Department:
CC017139 Population Health and Analytics
Summary:
Monday to Friday, full-time — Hybrid
Additional Information:
Supervises a team of analysts that build and maintain data analytics solutions that are a key part of the AC strategic plan. Researches best practices, performs the most complex analysis, and develops basic solutions that are reliable, accurate, and timely providing key improvements.
Preferred Experience
- Experience leading analytics, software development, data engineering, or other technical teams.
- Demonstrated ability to balance hands-on technical work with team leadership, project coordination, and stakeholder engagement.
- Experience designing, implementing, or supporting analytics, reporting, data engineering, predictive analytics, or decision-support solutions.
- Experience working directly with physicians, clinical leadership, operational leaders, or other business stakeholders to translate requirements into technical solutions.
- Experience in healthcare analytics, clinical operations, healthcare technology, or related healthcare environments.
- Experience supporting predictive analytics, machine learning, or advanced analytics initiatives, including implementation, governance, monitoring, or operationalization.
- Experience with enterprise analytics and reporting platforms such as Epic Cogito, Caboodle, Microsoft Fabric, Power BI, SQL, Python, or similar technologies.
- Strong understanding of solution architecture, system design, and the development of scalable and maintainable technical solutions.
- Experience developing and mentoring technical staff.
Recommended Education:
Bachelor's degree in a related field of study.
Required Work Experience:
High School Diploma/GED and 4 years of relevant experience, or 6 years of experience in lieu of a diploma/GED.
Recommended Work Experience:
Required Certifications:
Recommended Certifications:
Description
- Gathers specifications, design, implement, maintain and document most complex solutions.
- Perform most complex extract, transform, and load (ETL) tasks to reliably move data from one platform to another.
- Writes and maintains SQL service integration services packages, or other standard ETL processes.
- Uses other ETL products and improves performance and reliability in ETL tasks.
- Writes the most complex SQL queries and performs basic SQL administration tasks.
- Creates stored procedures and views.
- Builds metrics and reports in different technologies that supports different solutions.
- Assists in all data governance activities.
- Hires, terminates, coaches, counsels, trains, evaluates, and engages direct reports.
- Performs other duties as assigned.
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