Data Analyst

4 days ago

Bangalore Karnataka, India Gainwell Technologies Full time

Summary As a Data Analyst at Gainwell you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve a community s most vulnerable Connect your passion with purpose teaming with people who thrive on finding innovative solutions to some of healthcare s biggest challenges Here are the details on this position Your role in our mission Uses multi-dimensional and or relational databases such as OLAP to identify and maintain the high-volume and high dimensionality data needed to support predictive models Performs data compilation cleansing and processing queries databases and performs basic statistical analysis Determines informational needs and elements for using analytic techniques such as cluster analysis and association rules to build predictive models Defines logical attributes and inter-relationships and assists in identifying possible correlations between variables of interest Assists in the design and implementation of high impact and predictive modeling initiatives Basic Qualifications Bachelor s degree or equivalent combination of education and experience Three or more years experience in data analytics and or modeling Experience with multi-dimensional and or relational databases such as NoSQL OLAP and others Experience in manipulating high-volume high-dimensionality data from varied sources using big data integration and analysis tools such as R Matlab SAS Experience with data cleansing validation and general quality control principles Other Qualifications Basic programming skills and familiarity in Java Scala Python and or similar Basic problem solving skills to understand business challenges Basic communication skills both oral and written Ability to work independently and in a team environment Ability to handle multiple tasks and switch between tasks quickly Work Environment Remote Hybrid Office environment Will require late evening work hours to partially overlap US Eastern Time work hours LI-DNI

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