Operational AI Insights Analyst

• Real-time Sellable-Stock Engine – automate today’s manual spreadsheets so sales can quote inventory with confidence.
• Production & Materials Forecasting – build lightweight predictive models that align capacity, demand, and purchasing windows.
• Purchasing Optimization – surface buy-now vs. wait recommendations that balance lead-times, costs, and contract dates.
• Self-Service Dashboards – deliver intuitive Power BI/Excel/SQL visualizations that operations and finance teams can refresh on their own.

• →Translate diverse business questions into experiments, proofs-of-concept, and AI-assisted solutions.
• →Develop Python or low-code scripts that pull from SQL, ERP/MRP, and Excel sources to automate analysis workflows.
• →Build, iterate, and document dashboards or reports; present insights to stakeholders in clear, non-technical language.
• →Evaluate model and LLM output for accuracy, reliability, and hallucination risk; recommend guardrails where needed.
• →Champion data quality: flag anomalies, close gaps, and streamline collection processes across departments.
• →Stay current on practical AI/ML advances that can be safely adopted inside a mid-sized manufacturing environment.

• Bachelor’s degree in data/Analytics, Information Systems, Engineering, Finance, or similar field -or- equivalent hands-on experience.
• Proficiency with Python (or R/Julia), SQL querying, and advanced Excel; experience wiring APIs or basic software architecture is a plus.
• Experience working with business intelligence platforms such as Power BI, Tableau, or comparable tools, along with strong knowledge of forecasting methods and statistical analysis principles.
• ·Proven ability to turn ambiguous business problems into data models and actionable recommendations.
• Comfort working onsite in a small, highly collaborative team; excellent communication and curiosity are must-haves.
• Bonus points for prior exposure to manufacturing, supply-chain analytics, or aerospace/fastener industries.

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