EPIC Data Analytics Manager

6 days ago

Gainesville, United States Amtex Systems Inc. Full time

Role: EPIC Data Analytics Manager (Full-Time)

Location: Gainesville, GA (1 week onsite every 8 weeks)

Duration: Full-Time


Job Description:


> This position will manage a team of Analytics Developers, ETL Architects, DBAs and Data Scientists and is responsible for the design, development, and project management of Analytics solutions, including but not limited to building, enhancing and supporting data warehouses, Data Marts - both on prem and in the Cloud, support Epic Cognitive computing data models and develop and support predictive analytics.

> The ideal candidate will possess a strong background in data engineering, analytics, emerging technologies (AI, ML, NLP, Predictive Analytics), and database administration, with a focus on cloud technologies and team leadership.

> This role has production responsibility for the 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).


> Minimum Job Qualifications

Licensure or other certifications: Certified in Epic Clinical or Revenue Data Model or (or MUST be obtained within 1 year of date of hire).

Certified in one of the Snow Pro Advanced certifications - SnowPro Advanced - Architect, Data Engineer or Data Scientist (or MUST be certified within 1 year of hire date)


> Educational Requirements: Bachelor's Degree, preferably in a related field (Computer Science, Business Analytics, Management Information Systems, Data Science)


Minimum Experience: A minimum of ten (10) years experience with various BI and other analytics platforms with strong preference for EPIC EMR, SQL, ETL tools (SSIS, Informatica, Data Stage, Talend), Analytics tools (PowerBI, Qlik, Tableau), and project management

A minimum of 3 years of managerial/supervisory experience leading a highly, productive team.

Proven experience in analytics, data management, data warehousing or ETL Tools is required

Prior experience providing production level support and/or development in business intelligence (BI)/enterprise data warehouse (EDW) environments, data marts or analytics solutions required.

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