Senior Operational Excellence Data Analyst

Schreiber Foods•Green Bay, WI

8h•Onsite

About The Position

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. The role regularly communicates with partners within Operations and related functions on topics requiring explanation, interpretation, and advisement, influencing concepts, practices, and approaches at an operational level to enable effective execution and decision‑making. The position focuses on identifying and implementing moderate improvements to processes, procedures, or systems that enhance team effectiveness and operational outcomes. Problems addressed are often difficult and mildly complex, with impact across multiple teams, requiring advanced job knowledge, sound judgment, and demonstrated functional competence. The role also provides assistance and training to partners to build capability, consistency, and adoption of best practices within the team and broader organization.

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
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.
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.
Schreiber requires that an employee have authorization to work in the country in which the role is based.
In the event, an applicant does not have current work authorization, Schreiber will determine, in its sole discretion, whether to sponsor an individual for work authorization. However, based on immigration requirements, not all roles are suitable for sponsorship.

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.
May be required to perform other job-related tasks.

Benefits

Employee Stock Ownership Plan (ESOP)
8% 401(k) match into the ESOP
Company contribution of around 16% in retirement savings annually
Incentive pay twice a year
$10,000 relocation bonus
Generous relocation package if relocating more than 50 miles
Up to $5,000 annually for childcare costs
Monthly contributions toward childcare expenses
Wellness Incentive
Employer-funded Lifestyle Spending Account (LSA) to use on fitness, mental health, and other lifestyle expenses.
Tuition reimbursement
Medical, prescription drug, dental and vision benefits starting day one
Onsite nurse
Mental health counselor
Partners Helping Partners program