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Lead Assistant Manager-Data Management and Analytics-Database Warehousing

EXL Service · State of Tamil Nādu, India

6–12 yrs experiencefull_timePosted 4w ago
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Job description

Job Description: Lead medium-sized healthcare analytics projects. Oversee healthcare analytics standards and documentation. Mentor and develop junior team members. Collaborate with other departments to align healthcare analytics practices. Responsibilities: Lead medium sized healthcare analytics projects. Oversee healthcare analytics standards and documentation. Mentor junior team members. Collaborate with other departments. - Proficient with **Microsoft Access and Microsoft Excel** - Knowledge of descriptive **statistical modeling methodologies** and techniques such as classification, regression, and association activities to support statistical analysis in various healthcare data. - Strong knowledge of **Data Warehousing concepts** - Strong written, verbal and Customer service skills - Proficiency in compiling data, **creating reports and presenting information** , including expertise with query, MS Excel and / or other such product like SSRS, Tableau, PowerBI, etc - Proficiency on various data forms including but not limited to star and snowflake schemas. - Ability to translate business needs into practical applications - Desire to work within a fast-paced environment - Ability to work in a team environment and be flexible in taking on various projects. - Proven experience working in a fast-paced environment supporting multiple concurrent projects Qualifications: Graduate in Healthcare, Business, Data Science, or a related field. 3-4 years of experience in healthcare analytics or data analysis. - 2-4 years of experience **using Microsoft SQL Server** (version 2008 or later). - Ability to create and maintain complex **T-SQL queries, views, and stored procedures** . - 0 -1+ year experience performing advanced **ETL development** including various dataflow transformation tasks. Ability to monitor the performance and improve the performance by **optimizing the code and by creating indexes**