Data Analytics Intern - Spring and Summer 2022 in Kansas City at CBIZ

Date Posted: 12/24/2021

Job Snapshot

Job Description

With over 100 offices and nearly 5,000 associates throughout the U.S. CBIZ (NYSE: CBZ) delivers top-level financial and employee business services to organizations of all sizes, as well as individual clients, by providing national-caliber expertise combined with highly personalized service delivered at the local level.  
CBIZ has been honored to be the recipient of several national recognitions: 

  • 2020 Best Workplaces in Consulting & Professional Services by Great Place to Work®
  • 2020 Workplace Excellence Seal of Approval by the Alliance for Workplace Excellence
  • Top 101 2020 Best and Brightest Companies to Work For in the Nation
  • 2020 Healthiest 100 Workplace in America
  • 2021 Vault Rankings - 5th Best Accounting Firm for Client Interaction 

Position Summary

An internship in the Health Innovations Practice provides both a learning opportunity and valuable hands on experience working in an insurance brokerage firm with a direct focus on strategies related to both improving the quality and lowering the cost of the health care supply chain for employers.  This position will assist in the establishment of internal protocols and processes related to the application and display of multi-variate data sources associated with health care purchasing and claims data along with other disparate and interrelated data elements that influence health care metrics.

This intern will work part time hours during the spring semester and full time hours during the summer.

Essential Functions and Primary Duties  

  • Perform analysis of current existing data sets and disparate data elements
  • Provide insight to properly structure existing data systems using biostatistical and epidemiological principles
  • Assist in the creation of ad-hoc queries and filters to establish population cohorts and other observation parameters
  • Apply stringent evidence-based quantitative methods to data aggregation and visualization processes
  • Assist in the creation of client materials, emails, presentations, etc.
  • Complete Excel dashboards and spreadsheets
  • Assist in the distribution or delivery of client materials
  • Filing and organization
  • Perform all other duties as assigned

Preferred Qualifications

  • Currently enrolled in bachelor’s degree in data science, biostatistics, statistics, epidemiology or relatable major
  • Microsoft Office (Word, PowerPoint, Excel) fluency
  • Proficiency with Microsoft Access, Power BI, Tableau, Spotfire or other commensurate relational database and visualization software systems
  • Proficiency with Python or similar programming language.
  • Able to multi-task and see projects through to completion
  • Strong desire to learn along with professional drive
  • Ability to be self-motivated, self-directed
  • Excellent verbal and written communication skills
  • Ability to prioritize multiple projects

Minimum Qualifications

  • You must be at least 16 years old (or a work permit, if required)
  • High School Diploma or GED required
  • Working towards a Bachelor's degree
  • No experience is required

REASONABLE ACCOMMODATION

If you are a qualified individual with a disability you may request reasonable accommodation if you are unable or limited in your ability to use or access this site as a result of your disability. You can request a reasonable accommodation by calling 844-558-1414 (toll free) or send an email to accom@cbiz.com.

EQUAL OPPORTUNITY EMPLOYER

CBIZ is an affirmative action-equal opportunity employer and reviews applications for employment without regard to the applicant’s race, color, religion, national origin, ancestry, age, gender, gender identity, marital status, military status, veteran status, sexual orientation, disability, or medical condition or any other reason prohibited by law. If you would like more information about your EEO rights as an applicant under the law, please visit these following pages EEO is the Law and EEO is the Law Supplement.

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