Mgr, Modeling and Analytics

Quest Diagnostics; Wood Dale (IL); On-site; USD 87,000 - 130,000; Full time

Benefits offered by this job

Medical, dental & vision insurance

401(k) company match

Life and disability insurance

Vacation and Health/Flex Time

Job summary

Quest Diagnostics in Wood Dale, Illinois is looking for a skilled professional responsible for developing operational models and business analytics platforms. The role requires over 5 years of experience in data analytics and mathematical modeling, alongside proficiency in Python, SQL, or C++. The compensation ranges from $87,000 to $130,000 annually, with additional benefits including health insurance, retirement plans, and career advancement opportunities.

Qualifications

• 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++.
• Formal training in Python or C++, AI development.

Responsibilities

• Analyze and simplify complex systems and processes.
• Establish foundational modeling for actionable AI.
• Create predictive models to forecast changes.
• Own large scale mathematical modeling projects.
• Develop roadmap for AI leveraging in data analytics.
• Implement automation strategies for data usability.

Skills

Data analysis

Mathematical modeling

Python

SQL

C++

BI tools

Education

Bachelor’s degree in biology, computer science or mathematics

Tools

Power BI

Tableau

Advanced Excel

Alteryx

Salesforce

Jira

Snowflake

Job description

Job Description

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.

Compensation

Pay Range: $87,000 - $130,000 / 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

• 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
• healthyMINDS mental health program
• Vacation and Health/Flex Time
• 6 Holidays plus 1 "MyDay" off
• FinFit 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
• Flexible Spending Accounts
• Annual incentive plans
• Matching gifts programEducation 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 usability 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++

Physical and Mental Requirements

• BI and Visualization: Power BI, Tableau, Advanced Excel, Google Sheets
• Data Tools: Alteryx, Salesforce, Jira, Snowflake
• Strong expertise with database applications such as MS Access, or other relational databases (very desirable)
• Expert knowledge of test codes and methods available (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 material development, meetings, conference calls, e‑mails, and memos
• Ability to handle multiple projects simultaneously

Knowledge

• Knowledge of AI models and development fundamentals

Skills

• Excellent written and verbal skills, results oriented, and collaborative

Required Education

• Bachelor’s degree in biology, computer science or mathematics

Preferred Education

• Master’s degree in biology, computer science or mathematics

Required Technical Training

• Formal training in Python or C++, AI development

Competencies

• Problem Solving
• Listening
• Dealing with Ambiguity
• Drive for Results
• Organizational Agility
• Managerial Courage
• Business Acumen

About The Team

Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual to whom an agency has sent an unsolicited resume.

Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.