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. Other responsibilities include providing data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. The role requires basic expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches. The incumbent 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, and contributes to the interpretation of data analysis and to writing reports. The position may also involve helping customers understand the data set and providing training and suggestions for improvement on the data request. The role leverages communication and interpersonal skills and works with subject matter experts to present findings in easy to understand terms for the business or clinical practice.