Mayo Clinic is looking to leverage data analysis, data mining, pattern analysis, data visualization, reporting, and data management skills to support projects and provide data insights for business problems that can be approached with analytics techniques.
Requirements
- Ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques, is preferred.
- 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.) is required.
- Has basic expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.
- Requires strong analytical skills
Responsibilities
- This position utilizes data analysis, data mining, pattern analysis, data visualization, reporting, and data management skills.
- Supports projects under close supervision of senior data analysts or data scientists.
- Types of work include descriptive analytics, data query scripting, data analysis, data engineering, visualizations, and forecasting.
- Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Executes analytical procedures in the framework of a specific project work request.
- 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.
Other
- Bachelor's degree in a domain-relevant field such as engineering, mathematics, computer science, statistics, physics, data science, health science, or another analytical/quantitative field.
- Incumbent must stay current on healthcare trends and enterprise changes.
- Interpersonal skills and time management skills are required.
- a commitment to customer service.
- Presents findings in easy to understand terms for the business or clinical practice.
