Senior Operational Excellence Data Analyst

About the role

This Senior Operational Excellence Data Analyst is responsible for achieving operational and functional targets through independent ownership of moderately complex projects and assignments that directly impact team and job family results. Operating as an established professional under limited supervision, the individual contributes to defining project objectives and leads significant portions of initiatives that support operational performance.

Responsibilities

• Develop and Sustain SFI Data & Operational Excellence Culture
• Support, coach, and reinforce data-driven decision making and Operational Excellence principles with partners and Team Members.
• Champion measurement, structured problem-solving, and process discipline to drive positive partner behaviors and sustained performance improvement.
• Operational Data Enablement & Business Partnership
• Serve as the bridge between Operations and Schreiber’s technical data teams to translate complex data into actionable insights.
• Partner closely with operations, manufacturing engineering, process engineering, sourcing, packaging engineering, and FP&A to enable plant teams to identify and act on opportunities related to quality, delivery, capacity, and cost.
• Production Data Needs & Use-Case Definition
• Understand, define, and prioritize the data needs of production teams to support effective business decisions.
• Apply structured improvement methodologies (e.g., Lean Six Sigma) to support cost, quality, and operational performance initiatives through disciplined data use.
• Data Structure Development, Collection, and Preparation
• Develop, standardize, and maintain data structures and data pipelines that enable reliable data collection from multiple sources.
• Ensure data accuracy, completeness, and consistency to support trusted analytics and KPI reporting.
• Data Exploration, Analysis, and Model Development
• Apply analytical and statistical methods to explore data, identify trends, and uncover root causes.
• Where appropriate, develop and maintain models to forecast performance and support proactive, data-based decision making.
• Data Visualization, KPI Standards, and Reporting
• Establish standards and develop clear, intuitive data visualizations using tools such as Power BI.
• Translate insights into visual formats that are easily understood and actionable, including leadership dashboards and plant-floor visualizations (e.g., HMI screens), to drive alignment and execution.
• Training, Enablement, and Capability Building
• Provide targeted training, standards, and enablement that build Operations’ capability to independently access, analyze, and visualize data.
• Empower partners to adopt best practices in data analytics and visualization to sustain results beyond direct support.
• Cross-Functional Collaboration & Continuous Improvement Leadership
• Actively collaborate across functions to promote best practices in data access, analytics, and KPI visualization.
• Champion continuous improvement through effective use of data, analytics, and insight-driven problem resolution.

Requirements

• Bachelor’s degree in Engineering, Data Analytics, Operations or related technical field.
• 7+ years experience in manufacturing/operations, engineering, technical or related area in building and interpreting operational metrics, dashboards, and analysis.
• Proficiency in Excel, SQL, Power BI, and/or Tableau.
• Knowledge/proficiency of statistical programming languages like Phyton or commitment to develop proficiency within 12-24 months is expected.
• Data collection, cleaning and governance practices
• Leverage Lean and Six Sigma disciplines where applicable
• Problem-solving skills and ability to translate data into action.
• Ownership, self-started mindset; servant mindset
• Desire to grow and take on new challenges and opportunities.

Qualifications

• Ability to travel 20% - 40% as required.

Skills

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Experience with data visualization tools (Power BI, Tableau).
• Understanding of statistical programming languages (Python).
• Experience with data collection, cleaning, and governance practices.
• Knowledge of Lean and Six Sigma methodologies.

Benefits

• Two retirement benefits through the Employee Stock Ownership Plan (ESOP).
• Generous 401(k) match and additional company contribution.
• Annual bonus opportunities.
• Relocation package for eligible partners relocating more than 50 miles.
• Childcare costs covered.
• Monthly contributions toward childcare expenses.
• Wellness Incentive and employer-funded Lifestyle Spending Account (LSA).
• Tuition reimbursement for further education.
• Comprehensive medical, prescription drug, dental, and vision benefits.
• Onsite nurse and mental health counselor services.
• Partners Helping Partners program for additional support.

Pay

Salary range: $80,000 - $120,000 annually.

Schedule

Full-time, regular hours.