Advanced Analytics Supply Chain Analyst

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Layer Zero Power Systems Inc. is a globally recognized leader in providing state‑of‑the‑art power distribution solutions for critical industries. With a strong focus on reliability, innovation, and customer satisfaction, we deliver advanced power systems products that ensure uninterrupted and dependable power supply in mission‑critical environments. Our customer base is comprised of companies in the data center (our focus), financial, computer service provision, and semiconductor manufacturing sectors.

Layer Zero Power Systems is on a trajectory of sustained growth, with a loyal customer base of existing Fortune 100 customers and an expanding portfolio of new customers.

The Supply Chain Analyst will play a critical role in transforming how Layer Zero Power Systems uses data to plan, forecast, and execute operations. This role supports the Sales, Inventory, and Operations Planning (SIOP) process through advanced analytics, data modeling, and visualization to drive alignment, improve forecast accuracy, and enable data‑driven decision‑making across the organization.

Additionally, this position will play a key role in supporting the company’s ERP deployment, ensuring that data structures, reporting frameworks, and analytics tools are aligned with best practices to enable scalable, real‑time insights across the business.

• 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.

• Bachelor’s or Master’s degree in Data science, Statistics, Industrial Engineering,

• 3–7 years of experience in analytics, business intelligence, or data…