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ForterraForterraClarksburg, MD

Operations Analytics Manager

Operations Analytics Manager building and owning the end-to-end analytics stack for demand forecasting, S&OP, supply chain optimization, and costed BOM analytics. Requires 5+ years in data science or operations analytics, Python/SQL proficiency, forecasting model experience, and cross-functional partnership with leadership.

120k – 160k/yr
On-site5+ YOEData Analytics

About the role

What you'll do

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

  • Design and maintain analytical models for inventory optimization, lead time analysis, supplier performance tracking, and capacity utilization.
  • Build predictive models to anticipate supply disruptions, demand variability, and cost escalation.

Costed BOMs and margin analytics

  • Own the data pipeline and reporting layer for costed bills of materials (BOMs) ensuring visibility into material costs, labor, and overhead across product lines.
  • Develop scenario models to evaluate the cost impact of design changes, sourcing decisions, and volume shifts.

Minimum Qualifications

  • 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.

Preferred Qualifications

  • Experience with supply chain analytics, S&OP, costed BOMs, or manufacturing/operations environments.
  • Familiarity with ERP or WMS data models (NetSuite, SAP, or similar).
  • Generative AI or LLM integration experience applied to operational or analytical workflows.

Skills

PythonSQLSnowflakeETLdemand forecastings&opsupply chain analyticsNetSuiteSalesforceGenerative AILLMs

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