Senior Operational Excellence Data AnalystDormont Manufacturing Company • Green Bay, Wisconsin, United States
Senior Operational Excellence Data Analyst
Dormont Manufacturing Company
- Green Bay, Wisconsin, United States
- Green Bay, Wisconsin, United States
À propos
Job Family: Operations Excellence
Job Description: 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.
What you’ll do:
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.
What you need to succeed:
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 Python 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.
Benefits
Retirement benefits: Employee Stock Ownership Plan (ESOP) from day one with 8% 401(k) match into the ESOP and an additional contribution of about 8% of earnings toward retirement savings each year.
Incentive pay: Opportunity to earn bonus pay twice a year when company goals are met.
Relocation: $10,000 relocation bonus plus a generous relocation package for moves over 50 miles for a U.S. Salaried position.
Childcare assistance: Up to $5,000 annually toward childcare costs and monthly contributions toward babysitter expenses.
Wellness incentives: Eligible partners can earn a Wellness Incentive and receive an employer‑funded Lifestyle Spending Account (LSA) for fitness, mental health, and other lifestyle expenses.
Education support: Tuition reimbursement for courses relevant to the role and career goals.
Health benefits: Medical, prescription drug, dental and vision benefits starting day one, with onsite nurse and mental health counselor.
Employee support program: Partners Helping Partners program offering peer support and fundraising opportunities for partners in need.
Other benefits: Comprehensive access to information on health, well‑being, and financial resources through Schreiber Care.
For positions that require travel: Valid driver’s license, acceptable driving record, and a vehicle that meets travel requirements are required.
Schreiber requires that an employee have authorization to work in the country in which the role is based. An applicant without current work authorization may be sponsored at Schreiber’s sole discretion; however, not all roles are suitable for sponsorship due to immigration requirements.
An Equal Opportunity Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
#J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.