Job Description

Core Responsibilities
Develop and iterate on analytical frameworks to evaluate capacity, throughput, and system constraints across potato fries production stages.
Collaborate closely with plant teams, engineering, and insights teams to validate assumptions, refine models, and support data-driven decision-making.
Translate complex datasets into actionable insights through impactful visualizations.
Build tools and dashboards to monitor key performance metrics and enable self-service analytics.
Key Skills & Qualifications
Technical & Analytical Proficiency
Strong command of Python for data analysis and modeling.
Experience working with time-series and operational datasets.
Familiarity with statistical methods and basic machine learning techniques.
Data Visualization & Communication
Proficient in visualization tools such as Python libraries and Power BI.
Ability to present data findings in clear, concise, and actionable formats.
Skilled in storytelling through presentations for both technical and non-technical audiences.
Manufacturing Domain Acumen
Interest or experience in manufacturing, operations, or industrial systems (e.g., refrigeration, production lines, capacity planning).
Ability to understand plant operations and contextualize analysis within process flows and constraints.
Problem Solving & Initiative
Comfortable tackling ambiguous problems and structuring analytical approaches.
Experience designing or enhancing analytical frameworks from scratch.
Communication & Stakeholder Engagement
Strong written and verbal communication skills with a top-down approach.
Ability to collaborate across engineering, operations, and analytics teams.
Confident in presenting insights and recommendations to mid-to-senior level stakeholders.
Nice To Have
Exposure to manufacturing data systems (e.g., PI System, SCADA, MES).
Experience with simulation tools or modeling physical processes (e.g., heat transfer, fluid dynamics).

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