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Modeling and Analytics Manager

Job in Wood Dale, DuPage County, Illinois, 60399, USA
Listing for: Quest Diagnostics
Full Time, Part Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 145000 USD Yearly USD 100000.00 145000.00 YEAR
Job Description & How to Apply Below

This position is responsible for the development, maintenance, and oversight of operational models and business analytics platforms. The models and analytics platforms will provide actionable insights to functional teams across all functions of the organization. The position includes defining business opportunities through observing the work being done, working with functional leaders to align on impact and prioritization, developing mathematical models to inform business decisions, translating complex mathematical models into easy to digest and actionable formats/dashboards, and training functional teams on use of the models to ensure adoption that maintains sustainable business results.

Pay Range: $100,000 - $145,000 / annually

Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.

Benefits Information:

We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include:

  • Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours
  • Best-in-class well-being programs
  • Annual, no-cost health assessment program Blueprint for Wellness®
  • Vacation and Health/Flex Time
  • 6 Holidays plus 1 "MyDay" off
  • Fin Fit financial coaching and services
  • 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service
  • Employee stock purchase plan
  • Life and disability insurance, plus buy-up option
  • Matching gifts program
  • Education assistance through MyQuest for Education
  • Career advancement opportunities and so much more!
Responsibilities
  • Ability to use numbers and equations to analyze, explain, and simplify complex systems and processes throughout the business
  • Establish the foundational modeling required to implement actionable AI across business operations
  • Create predictive models to forecast impact of changes in volume/equipment/personnel based on actual information
  • Works with functional leaders as well as team members to understand business challenges and identify opportunities for modeling to add value.
  • Owns a portfolio of initiatives including large scale mathematical modeling projects, data analysis projects, and visuals/dashboard requests.
  • Demonstrated understanding of continuous improvement, process management, or system thinking (value stream thinking)
  • Develop roadmap to leverage AI in data analytics
  • Implement automation strategies to improve useability of data
  • Implement industry leading practices in data analytics and modeling
  • Collaborate across the organization to champion infrastructure and competencies for data analytics
Required

Work Experience:
  • 5+ years of experience in data analytics and/or mathematical modeling
  • 5+ years of experience in a laboratory, manufacturing, or operations environment
  • 3+ years of experience in Python, SQL or C++
Preferred Experience:
  • BI and Visualization:
    Power BI, Tableau, Advanced Excel, Google Sheets.
  • Strong expertise with database applications such as MS Access, or other relational databases very desirable.
  • Expert knowledge of test codes and methods available is helpful.
  • Experience working with geographically dispersed teams.
  • Demonstrated ability to develop strong relationships with others.
  • Advanced data analysis skills.
  • Effective written and verbal communication skills across multiple formats: formal presentations, training…
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