Operations Analytics Manager

Job description

Job responsibilities

• Operational data warehouse and infrastructure
• Design and build the operational data warehouse: integrating data from ERP (NetSuite), CRM (Salesforce), and other business systems into a unified, reliable analytics layer.
• Build and own ETL pipelines, data quality, and governance in close partnership with Business Systems on architecture and system integrations.
• Demand forecasting and S&OP
• Build and own statistical and ML-driven demand forecasting models that feed the monthly S&OP cycle and inform capacity, procurement, and production planning.
• Partner with Sales, Finance, and Operations leadership to align forecast inputs and provide real-time visibility into demand signals and supply constraints.
• Build the Operations reporting suite: automated dashboards and KPI tracking for executive visibility
• Central planning and supply chain analytics

Job requirements

• 5+ years in data science, analytics engineering, or operations/revenue analytics.
• Proficiency in Python and SQL; experience with cloud data platforms (Snowflake or equivalent).
• Hands-on experience building forecasting models and data pipelines in a production environment.
• Ability to translate complex model outputs into clear narratives for non-technical stakeholders and senior leadership.
• Experience working cross-functionally with Finance, Sales, Supply Chain, or Operations.
• Bachelor’s degree in supply chain, engineering, business, or related field.
• Experience with supply chain analytics, S&OP, costed BOMs, or manufacturing/operations environments.
• Familiarity with ERP or WMS data models (NetSuite, SAP, or similar).