Healthcare Data Analytics

Healthcare Data Analytics

Location:

Minneapolis, MN

Experience:

10+ Duration:
Long Term

This position will support various Financial Data Management teams with data testing and data quality assessment. The DS3 team is approximately 35 members with the direct team being 5-7 individuals. The team is extremely skilled in various big data technologies (Hive, Hadoop, Teradata) and has a variety of programming skills (SAS, SQL, Python, R) etc.

Assist various groups in the transition of Financial Systems data flows to various ETL or data warehouse platforms.

Create programs and automated processes for reporting and dashboarding on various data quality measures.

Research and development on various metrics and analytical methods to help with data quality, automated testing, and validation processes.

Develop sophisticated methods for anomaly detection, pattern analysis, change point detection, threshold measuring and other approaches for measure data changes.

Exploratory data analysis and research to determine data baselines and thresholds for summary analysis.

Healthcare data experience not required but helpful. 4-year degree in Data Science, Analytics, Mathematics, Statistics, or Computer Science. 4+ years of experience as a data analyst, data scientist or data engineer.

Ability to build complex SQL queries

Ability to confidently communicate findings and help implement change

Professional experience with various data platforms like Microsoft SQL Server, SAS Fusion Hadoop, Teradata, Hive, AWS, Azure, etc.

Professional experience with various data business intelligence software tools like Power BI, Tableau, iDashboards etc.

Aptitude for telling stories with data.

Experience with presenting to Senior Management or Executive Leadership.

SAS Certification, Teradata Vantage Certification, Microsoft Certified Professional

Advanced degree in Data Science or Analytics.

Experience with Github, Agile Methodology.