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.

Required Education:
High school diploma or GED or equivalent

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

1. Gathers specifications, design, implement, maintain and document most complex solutions.

2. Perform most complex extract, transform, and load (ETL) tasks to reliably move data from one platform to another.

3. Writes and maintains SQL service integration services packages, or other standard ETL processes.

4. Uses other ETL products and improves performance and reliability in ETL tasks.

5. Writes the most complex SQL queries and performs basic SQL administration tasks.

6. Creates stored procedures and views.

7. Builds metrics and reports in different technologies that supports different solutions.

8. Assists in all data governance activities.

9. Hires, terminates, coaches, counsels, trains, evaluates, and engages direct reports.

10. Performs other duties as assigned.