Modeling and Analytics Manager
Quest Diagnostics · Wood Dale, IL · Yesterday
HybridAnalyst$100k–$145k/yrFull-time
Responsibilities
- Use numbers and equations to analyze, explain, and simplify complex systems and processes throughout the business.
- Create predictive models to forecast impact of changes in volume/equipment/personnel based on actual information.
- Work with functional leaders as well as team members to understand business challenges and identify opportunities for modeling to add value.
- Owes a portfolio of initiatives including large scale mathematical modeling projects, data analysis projects, and visuals/dashboard requests.
- 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.
Requirements
- 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.
- Data Tools: Alteryx, Salesforce, Jira, Snowflake.
- Strong expertise with database applications such as MS Access, or other relational databases very desirable.
- 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.
- Able 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.
Required Technical Training
- Formal training in Python or C++.
- AI development.