Cloud Analytics Technologies, LLC
Data Science Analyst
Cloud Analytics Technologies, LLC, Rochester, Minnesota, us, 55905
JOB DESCRIPTION:Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required. May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.Other responsibilities:
Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.Executes analytical procedures in the framework of a specific project work request.Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.Contributes to the interpretation of data analysis and to writing reports.Helps customers understand the data set and provide training and suggestions for improvement on the data request.Leverages communication and interpersonal skills and works with subject matter experts.Presents findings in easy to understand terms for the business or clinical practice.Qualifications:Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.
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Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.Executes analytical procedures in the framework of a specific project work request.Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.Contributes to the interpretation of data analysis and to writing reports.Helps customers understand the data set and provide training and suggestions for improvement on the data request.Leverages communication and interpersonal skills and works with subject matter experts.Presents findings in easy to understand terms for the business or clinical practice.Qualifications:Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.
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