Master Black Belt - Data-Driven Continuous Improvement

Trystar; Faribault (MN); On-site; USD 110,000 - 150,000; Full time

Job summary

Trystar is seeking a Master Blackbelt – Continuous Improvement to lead data-driven process optimization at our Faribault or Burnsville offices. You will analyze large datasets, develop statistical models, and collaborate with cross-functional teams to drive product and process improvements.

The role requires a strong analytical mindset, proficiency with R/Python/SAS, and experience in Lean Sigma practices, with a focus on delivering measurable value and sustaining improvements across diverse

Qualifications

• Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, or related field.
• Proficiency in statistical software (R, Python, SAS).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Experience with data visualization tools is a plus.

Responsibilities

• Use metrics to support decision-making and validate improvements.
• Collect, analyze, and interpret large datasets to identify trends and insights.
• Develop statistical models to support product development and operational efficiency.
• Collaborate with cross-functional teams to provide data-driven recommendations.
• Ensure accuracy and integrity of data used for decision-making.
• Prepare detailed reports and visualizations for stakeholders.
• Stay updated on emerging statistical methods and tools.

Skills

Statistical analysis

Data interpretation

Analytical thinking

Communication abilities

Education

Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, or related field

Tools

R

Python

SAS

Minitab

JMP

Epicor

Job description

Trystar is seeking a Master Blackbelt – Continuous Improvement to lead data-driven process optimization at our Faribault or Burnsville offices. You will analyze large datasets, develop statistical models, and collaborate with cross-functional teams to drive product and process improvements.

The role requires a strong analytical mindset, proficiency with R/Python/SAS, and experience in Lean Sigma practices, with a focus on delivering measurable value and sustaining improvements across diverse