Mayo Clinic is looking to solve business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
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 other 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.
- 10%+ travel
