· Explores, examines and interprets large volumes of data in various forms
· Performs analyses of both structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses
· Utilizing advanced statistical techniques and mathematical analyses
· Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
· Uses data visualization techniques to effectively communicate analytical results and support business decisions
· Explores existing data and recommends additional sources of data for improvements
· Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
· Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Required:
· Experience programming using Python or R
· Experience in SQL or SAS
· 1 to 3 years of relevant analytic experience
Preferred:
· Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization.
· Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
· Ability to work with large data sets from various data sources
· Anticipates and prevents issues and roadblocks before they occur
· Demonstrates strong ability to communicate technical concepts and implications to business partners
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Hospitals and Health Care
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