SAS Team Lead

Responsibilities:

• Manage the Informatics team in Mumbai in partnership with the global lead 
• Conduct performance reviews of team members and identify areas of improvement, give feedback and recommend for promotions or salary increments
• Promote and maintain team engagement
• Provide technical training to teams and serve as a technical mentor to team members
• SAS programming with large and complex health care databases. 
• ETL, data standardization, database production, ad hoc analysis and process engineering.
• Collect, organize, and disseminate significant amounts of information about said data with attention to detail and accuracy.
• Develop and implement data management/data quality techniques to assure and measure data for completeness, reasonableness, accuracy and consistency
• Provide custom analysis and prepare outcomes using health care claims data.
• Collaborate with health care consultants across the country to integrate and analyze data from various sources. 
• Work effectively with external vendors for tasks like secure data transmission, data validation etc. 
• Handle multiple concurrent projects effectively with varying tasks and priorities and minimal supervision.
• The candidate must be motivated, inquisitive and able to readily take ownership of responsibilities.

Requirements:

• Minimum 10-15 years Base SAS programming and SQL experience
• Demonstrated experience leading inspiring, mentoring and managing a team
• Must have a strong talent mindset: maintaining, recruiting, selecting, training, and coaching.
• Excellent written and verbal communication skills; ability to communicate with individuals at various levels within the organization and with external clients/vendors.
• Time management skills for managing multiple tasks simultaneously, while completing work within allocated time frames.
• Significant experience using Microsoft Office Applications
• Strong attention to detail

Desirable

• Familiarity with Agile practices
• Experience in Data Visualization including Power BI
• Experience in Data Science and Data Modeling