Supply Chain Program Data Analyst

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This position will be responsible for Data Analytics of all Supply Chain initiatives that involve network equipment reliability, production operation statistical process control (SPC), risk management, including but not limited to Operations, Supply Planning, Transportation, Logistics, Quality and Procurement. This role is a key to initiate change management transformation and its related processes within supply chain manufacturing that greatly impact business outcomes.

The Supply Chain program data analyst is accountable for driving the successful implementation of strategic initiatives focusing on driving growth, productivity, safety, quality initiatives coordinating cross-functional teams, driving schedules, project pipeline prioritization, change management, risks identification and mitigation planning, and improving the organization’s overall project/program management systems and processes.

Successful candidates for this position are highly strategic, clearly understand operations for Food and/or Beverage, strategic and logical thinkers, data driven, curious learners, and experienced professionals. The data analyst must be a communicator, an influencer, trusted adviser, and strategic partner to successfully implement necessary projects and initiatives.

Responsibilities

The individual will build or assist the operational leaders with project charters that clearly define problem statements, goals, measures, scope, and schedules. Understand trade-offs between opportunities and risks. Provide recommendations based on appropriate data analysis.

Provide statistical process control training and guidance to the supply chain operation, engineering and quality team. Collaborate to develop communication plans, training materials, and engagement strategies to drive successful change initiatives.

Communicate progress and manage expectations of key stakeholders at all levels as appropriate. Know when to escalate roadblocks. Develop and disseminate status reports in a timely manner.

Deliver supply chain commitments and milestones for supply chain projects. Influence discussions surrounding product manufacturability, equipment reliability, and business and operation risks.

Support change management process execution from idea to implementation by setting vision, engaging cross-functional and intra-organizational teams to change the culture.

Continuously improve the project management toolkits used within Marzetti; enable best practice sharing by ensuring all projects are properly closed out and key learnings are documented.

NPD trial and startup coordination including necessary clear success criteria definition and risk management remediation plan.

Working closely with OpEx team on gathering baseline data for line performance and monitor post launch/startup data to ensure vertical startup meets pre-defined success criteria.

If new technology/equipment is part of the project scope, working closely with IT, QA and Maintenance team to ensure success criteria are measured and monitored. All risk mitigation plans and actions are identified and completed.

Qualifications

10+ years of relevant experience in manufacturing and supply chain environment; 3+ years in Project Management or supporting projects

Bachelor’s Degree in relevant fields (Quality Engineering, Industrial Engineering, or equivalent experience)

Certified statistician and experience with risk management and statistical process control is preferred.

Competencies

Leadership Competencies

Communicate, Collaborate and Integrate

Customer Focus

Interpersonal Savvy

Negotiating

Drive for Results

Plan & Align

Directing Others

Position Competencies

Strong statistical process control knowledge

Strong process focus and critical thinking skills

Strong verbal and written communication skills

Ability to plan and prioritize workload; ability to multi-task and meet deadlines.

Passion for solving complex problems and building scalable processes.

Working knowledge of Planisware and Microsoft Power BI

Basic knowledge of supply chain principles

Working knowledge of manufacturing operations

Working Conditions/Environment

Working Conditions/Environment:

Works in a normal office environment where the employee is regularly required to speak, see, hear, sit, stand, talk, type, walk and bend while moving about the facility. The noise level in the office is quiet. Occasional travel to plants or meetings is required (10-15%).

Regular Full-Time