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.
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 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:
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 WorkExperience:
Physical and Mental Requirements:
Knowledge:
Knowledge of AI models and development fundamentals
Skills:
Required Education:
Preferred Education:
Master’s degree in biology, computer science or mathematics.
Required Technical Training:
Competencies:
Problem Solving
Listening
Dealing with Ambiguity
Drive for Results
Organizational Agility
Managerial Courage
Business Acumen