Data Reporting and Analytics Masters Intern

FLEXIBLE

This internship role is scheduled to be flexible. Please be prepared to spend part of your time working remotely and part of your time working at the following address: 393 E. Walnut St., Pasadena, 91188.

Job Summary:

Note:

THIS POSITION MUST BE REVIEWED WITH TOTAL COMPENSATION BEFORE POSTING.

This position provides analytical support to a project or department. Under the guidance of a Project Manager/ Director, responsible for collecting and researching data, performing analysis, providing recommendations and presenting results.

Department Description:

We provide data analytics services to quality leaders and executives to make informed decision regarding evidence-based care best practices as well as opportunities for improvement. We leverage our EMR and other databases to produce meaningful and actionable reports for our sponsors.

Project Description:

The intern will assist with exploration of AI and Natural Language Processing tools to complement existing data extraction processes to produce robust and meaningful quality reporting. We invite the intern to participate in strategy building, testing, and validating of AI/NLP models in our reporting process. We will focus on extruding contextual data of unstructured physician/nursing documentation from our electronic medical record.

Desired Majors:

Computer Science or Data Science.

Desired Skillsets:

Basic data analytic skills, data science skills including SAS, Python, R, SQL, Databrick, Data wrangling and cleaning, basic machine learning. General knowledge of statistics and analytics fundamentals, data visualization and insight communication. Strong aptitude for problem solving and analytical thinking. Familiarity and experience with NLP and big data, particularly healthcare data is a plus.

Essential Responsibilities:

Responsible for contributing high level analytical support to a project or department requiring application of knowledge in marketing, information management, finance, management, economics or statistics. This position contributes to a full range of project components. Assigned to at least one project and expected to produce results and report out as a member of a project team. Organizes assigned project tasks, identifies and structures information collection activities, and sets timelines for completion of required tasks as directed. Develops tools to identify and to document best practices. Prepares various excel, word or PowerPoint reports, and works with access database software (or similar tool) to develop data extracts and management information reports. May be asked to produce graphic information using excel or PowerPoint or similar software. Contributes to development of management information and analysis conducted, provides recommendations and assists with preparation of formal presentations to communicate results to various management levels. Identifies alternative solutions to project issues. Contributes to development project plans to ensure timely deliverables and successful completion of project and demonstrates an understanding of various business intersections. Assists with identification and development of training information. Kaiser Permanente conducts compensation reviews of positions on a routine basis. At any time, Kaiser Permanente reserves the right to re-evaluate and change job descriptions, or to change such positions from salaried to hourly pay status. Such changes are generally implemented only after notice is given to affected employees.

Qualifications:

Basic Qualifications:

Experience N/A Education Bachelors degree required. Enrolled in or recent graduate of a MBA or other Masters level program with an accredited college or university.

License, Certification, Registration N/A Additional Requirements:

Solid analytical skills, problem solving, project management and critical thinking. Strong project management skills. Excellent verbal and written communication skills. Ability to utilize at a working level Excel, Word, PowerPoint, and Access. Must be able to work in a Labor/ Management Partnership environment.

Preferred Qualifications:

Knowledge of SQL or SAS highly desirable.