Trend data to identify potential opportunities (e.g., variances, significant outliers, percentile ranked groups) for quality improvement or focused investigations
Access data, construct and manipulate large datasets to support planned analyzes, using SAS and SQL.
Develop, test and deploy predictive models
Assessment of data quality using advanced statistical testing and validation techniques
Data management and reporting
Analytical skills to provide insights from the data and create report
Good Communication – able to collaborate with onshore SMEs
Aptitude to learn and multitask
Good team player & collaborative in approach
Certified Base and/or Advanced SAS programmer
Knowledge in “R programming language”
Moderate/ Expert working knowledge of and programming experience with SAS - able to create queries.
Knowledge of statistical techniques such as Logistic Regression, Segmentation, Clustering, etc.
Little or moderate Experience with different database systems such as MS SQL Server, Oracle, DB2, etc. 85
Understanding of health care data / databases.
Conduct all job functions and responsibilities in accordance with all company Compliance, Information Security and Regulatory policies, procedures and programs.