Advanced Analytics Supply Chain Analyst
Job Description:
• Develop and maintain analytical models that support demand forecasting, capacity planning, and inventory optimization.
• Analyze sales, production, and supply chain data to identify trends, risks, and opportunities.
• Partner with functional leaders to improve forecast accuracy, service levels, and operational efficiency.
• Build predictive and prescriptive models using advanced statistical, machine learning, or optimization techniques to support SIOP decision-making.
• Perform sensitivity analyses and scenario modeling to support long-term capacity and investment planning.
• Develop algorithms and models that provide forward-looking insight into supply-demand balance, lead times, and production throughput.
• Serve as a key analytics lead in the ERP/MRP system deployment and post-implementation phases.
• Ensure data accuracy, integrity, and consistency across systems through close collaboration with IT, Operations, and Supply Chain teams.
• Support design and validation of ERP data structures (e.g., BOMs, routings, inventory hierarchies) for effective reporting and planning.
• Develop reporting frameworks and KPIs to leverage ERP data for real-time operational insights.
• Drive user adoption by helping build intuitive dashboards and analytical tools that connect business needs with ERP capabilities.
• Design and maintain interactive dashboards and reports (Power BI, Tableau, or equivalent) to track KPIs such as forecast accuracy, lead times, inventory turns, and customer fill rates.
• Translate complex data into clear insights for executive leadership and cross-functional teams.
• Automate recurring data reports and develop robust data pipelines for real-time visibility.
• Partner with IT and Operations to ensure data quality, consistency, and standardization across all systems.
• Contribute to the development of a best-in-class analytics infrastructure to support the company’s growth and digital transformation.
• Identify and drive process improvement opportunities within SIOP and related business processes.
• Support strategic initiatives in production planning, material control, and procurement through analytical insights.
• Partner with Finance and Operations to model performance scenarios and improve alignment between demand and supply.
• Communicate findings effectively to both technical and non-technical audiences.
Requirements:
• Bachelor’s or Master’s degree in Data science, Statistics, Industrial Engineering
• 3–7 years of experience in analytics, business intelligence, or data science (manufacturing or supply chain preferred)
• Experience supporting or integrating with ERP systems (Epicor, SAP, Oracle, or equivalent)
• Strong proficiency in SQL and data analysis tools (Python, R, or similar)
• Experience building dashboards and data visualizations (Power BI, Tableau, or equivalent)
• Solid understanding of SIOP, MRP, and manufacturing operations processes
• Excellent problem-solving skills and business acumen; able to link analytics to operational and financial impact
• Strong communication and storytelling skills, with the ability to present data to executive and operational audiences
• Analytical and detail-oriented thinker
• Curious, self-driven, and proactive in problem-solving
• Comfortable working with ambiguity in a fast-growing manufacturing environment
• Collaborative mindset with cross-functional communication strength
• Passion for data accuracy, process improvement, and continuous learning
• Excitement about building systems, data models, and insights that scale with a growing business
Benefits:
• Competitive pay with performance incentives
• 100% company-paid medical, dental, and vision
• 401(k) with company match
• 3 weeks PTO
• 10 paid holidays
• 2 floating holidays
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• Develop and maintain analytical models that support demand forecasting, capacity planning, and inventory optimization.
• Analyze sales, production, and supply chain data to identify trends, risks, and opportunities.
• Partner with functional leaders to improve forecast accuracy, service levels, and operational efficiency.
• Build predictive and prescriptive models using advanced statistical, machine learning, or optimization techniques to support SIOP decision-making.
• Perform sensitivity analyses and scenario modeling to support long-term capacity and investment planning.
• Develop algorithms and models that provide forward-looking insight into supply-demand balance, lead times, and production throughput.
• Serve as a key analytics lead in the ERP/MRP system deployment and post-implementation phases.
• Ensure data accuracy, integrity, and consistency across systems through close collaboration with IT, Operations, and Supply Chain teams.
• Support design and validation of ERP data structures (e.g., BOMs, routings, inventory hierarchies) for effective reporting and planning.
• Develop reporting frameworks and KPIs to leverage ERP data for real-time operational insights.
• Drive user adoption by helping build intuitive dashboards and analytical tools that connect business needs with ERP capabilities.
• Design and maintain interactive dashboards and reports (Power BI, Tableau, or equivalent) to track KPIs such as forecast accuracy, lead times, inventory turns, and customer fill rates.
• Translate complex data into clear insights for executive leadership and cross-functional teams.
• Automate recurring data reports and develop robust data pipelines for real-time visibility.
• Partner with IT and Operations to ensure data quality, consistency, and standardization across all systems.
• Contribute to the development of a best-in-class analytics infrastructure to support the company’s growth and digital transformation.
• Identify and drive process improvement opportunities within SIOP and related business processes.
• Support strategic initiatives in production planning, material control, and procurement through analytical insights.
• Partner with Finance and Operations to model performance scenarios and improve alignment between demand and supply.
• Communicate findings effectively to both technical and non-technical audiences.
Requirements:
• Bachelor’s or Master’s degree in Data science, Statistics, Industrial Engineering
• 3–7 years of experience in analytics, business intelligence, or data science (manufacturing or supply chain preferred)
• Experience supporting or integrating with ERP systems (Epicor, SAP, Oracle, or equivalent)
• Strong proficiency in SQL and data analysis tools (Python, R, or similar)
• Experience building dashboards and data visualizations (Power BI, Tableau, or equivalent)
• Solid understanding of SIOP, MRP, and manufacturing operations processes
• Excellent problem-solving skills and business acumen; able to link analytics to operational and financial impact
• Strong communication and storytelling skills, with the ability to present data to executive and operational audiences
• Analytical and detail-oriented thinker
• Curious, self-driven, and proactive in problem-solving
• Comfortable working with ambiguity in a fast-growing manufacturing environment
• Collaborative mindset with cross-functional communication strength
• Passion for data accuracy, process improvement, and continuous learning
• Excitement about building systems, data models, and insights that scale with a growing business
Benefits:
• Competitive pay with performance incentives
• 100% company-paid medical, dental, and vision
• 401(k) with company match
• 3 weeks PTO
• 10 paid holidays
• 2 floating holidays
Apply tot his job
Apply To this Job