Location
Gainesville, GA | United States
Job description
Title: Manager Data Engineering & Analytics
Location: Gainesville, GA, 30507 (Hybrid- 3x/week onsite )
Type: Full Time Permanent
Industry: Hospital and Healthcare.
Job Summary:
The Manager-Data Engineering & Analytics oversees our enterprise data strategy, managing a team responsible for designing, developing, and managing analytics solutions. This includes data warehouses, Data Marts (on-premises and in the Cloud), and predictive analytics. The role involves collaborating with business stakeholders, mentoring team members, and ensuring alignment with emerging analytics concepts and strategies.
Minimum Job Qualifications:
- Certified in Epic Clinical or Revenue Data Model (or must be obtained within 1 year)
- Certified in one of Snow Pro Advanced certifications (or must be certified within 1 year)
- Bachelor's Degree in a related field
- Minimum 10 years of BI and analytics platform experience, including EPIC EMR, SQL, ETL tools, and analytics tools.
- Minimum 3 years of managerial experience leading a productive team.
- Strong leadership, communication, and SQL skills
Essential Tasks and Responsibilities:
- Lead a team of Analytics Developers, ETL Architects, DBAs, and Data Scientists in designing and managing analytics solutions.
- Manage organization's Epic Operational DB (Chronicles), Cogito Databases (Clarity & Caboodle), Cloud Data Platform (Snowflake), ETL Tools (SSIS, Fivetran, CData, dbt), Analytics Tools (Qlik, Astrato), Epic Cognitive Computing Models, and Data Science toolset (Dataiku)
- Support organization's Data Governance program through contribution of all assets to the Analytics Catalog, use of all internal & external data sources, and assisting with the definition and adoption of data management principles, standards, processes, and controls.
Job Specific and Unique Knowledge, Skills, and Abilities:
- Strong analytical, interpersonal, and problem-solving skills
- Accomplished team-oriented leader with strong communication and collaboration skills
- Ability to organize, prioritize, and make decisions in a fast-paced environment.
- Understanding of data architecture, governance, and data warehousing concepts
- Experience in performance tuning and data management best practices.
- Advanced understanding of reporting delivery life cycle and data management technologies
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- Dice Id: opsysga
- Position Id: 8195129
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