candidates in this role will be part of Analytics team. They will be working in different Client functions -Consumer/ Provider, Operations analytics teams to solve real client problems and challenges.
Roles and Responsibilities: Develop Proficiency 1. Develop proficiency in tools such as Big Data/Hadoop/Java/R/Python/SQL, Microsoft Office Excel/Access/PowerPoint 2. Learn how to use Entity Relational Database Models to understand the enterprise database systems 3. Learn how to use Data Warehousing design principles to create Data Marts & De-normalized views for Machine Learning Models, Business Intelligence Dashboards 4. Leverage UHGs Big Data Analytics Infrastructure comprising Hadoop, R, Python to solve complex business problems in Healthcare Domain 5. Acquire understanding of US Healthcare domain Requirements Analysis & Planning 6. Work under supervision of Senior Data Engineers & Manager to gather requirements to create Data model for Data Science & Business Intelligence projects 7. Work closely with Senior Data Engineers & Manager to create project plans & list down exhaustive list of activities to be carried out to implement solution 8. Engage in client communications for all important functions including data understanding/exploration, strategizing solutions etc. 9. Document the Metadata information about the data sources used in the project & present that information to team members during team meetings .
Collaboration 10. Collaborate with Enterprise & Data Lake Teams & understand the Data getting stored in enterprise Data lake teams, format in which the data gets stored & how the Data engineers can extract data from Data Lake 11. Collaborate with Data Science , Business Intelligence teams & engineer the Data & Platform approach needed to solve a business problem Design & Develop 12. Data Marts, De-normalized views & Data Models for projects 13. Data Quality control processes around the data sets used for analysis Capability Development 14. Work with Senior team members to develop new capabilities for the team