Job Summary:
Schreiber Foods is seeking a Senior Operational Excellence Data Analyst who will be responsible for achieving operational and functional targets through independent ownership of moderately complex projects. This role involves collaborating with various teams to enhance operational performance and implementing improvements to processes and systems.
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.
• 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.
• May be required to perform other job-related tasks.
Qualifications:
Required:
• 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
• 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.
• Travel varies depending on manufacturing needs. Ability to travel 20% - 40% as required.
• Valid driver's license, auto insurance (at least state minimum- more might be required), acceptable driving record per Schreiber Foods discretion, and vehicle that will ensure applicant can meet the travel necessities of the position are required.
• Authorization to work in the country in which the role is based.
Company:
Schreiber provides dairy favorites to people around the globe. Founded in 1945, the company is headquartered in Green Bay, USA, with a team of 10001+ employees. The company is currently Late Stage.