Senior Statistical Process Control Analyst

🔥 18 hours ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $83.1k - $120.5k / year

⏰ Full Time

🟠 Senior

🧐 Analyst

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Blattner

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1908

🏗️ Construction

⚡ Energy

Construction • Energy • Renewable Energy

Blattner is a leading utility-scale engineering, procurement, and construction (EPC) company focusing on renewable energy and energy storage. With significant experience in building wind, solar, and storage projects, Blattner is committed to driving the transformation towards a cleaner and more sustainable world. The company has constructed 25% of the U. S. utility-scale wind, solar, and energy storage capacity, solidifying its role in powering America to a clean energy future. Blattner prioritizes safety and quality, ensuring their projects are executed without compromise. They also offer comprehensive career opportunities, promoting a culture of collaboration and success.

📋 Description

• Mines and analyzes production, quality, safety, and cost data to identify root causes and candidate opportunities, providing the data sources each Continuous Improvement team member needs for their assigned projects. • Develops infrastructure that helps Continuous Improvement teams better understand and manage risk in their decision environment to capture opportunities. • Partners with the Continuous Improvement team during the Measure and Analyze phases to establish statistically sound baselines and quantify opportunity size using hypothesis testing (t-tests, chi-square, ANOVA) and regression analysis. • Validates measurement systems (Gage R&R) to confirm data is reliable before it's used for analysis or control limits and identifies areas across the organization where data accuracy needs improvement. • Designs and maintains control charts (X-bar/R, p-charts, c-charts, etc.) and conducts process capability studies (Cp/Cpk, Pp/Ppk), remaining hyper-focused on the Control phase of DMAIC.

🎯 Requirements

• Bachelor's degree in Statistics, Industrial Engineering, Data Science, Mathematics, or a related quantitative field; or equivalent combination of education and experience. • Two or more years of experience in data analysis, statistical analysis, or continuous improvement, preferably within a construction, energy, or industrial environment. • A Lean Six Sigma Green Belt certification is preferred and/or the ability to obtain within 12 months of hire. • Experience applying DMAIC methodology and statistical process control tools is strongly preferred.

🏖️ Benefits

• 100% employer paid HDHP insurance premiums for employees • 401(k) with company match • HSA and FSA options • Dental and Vision insurance • Education Assistance (Tuition Reimbursement) • Work/Life balance • Employee/Family focused culture • Gym on site