Operations Analytics Manager
$120,000–$160,000 year
On-siteClarksburg, West Virginia, United States or Clarksburg, Maryland, United States
Job Summary
Design and build the operational data warehouse by integrating data from ERP, CRM, and business systems into a unified analytics layer. Own ETL pipelines, data quality, and governance while partnering with Business Systems on architecture and integrations. Develop statistical and ML-driven demand forecasting models to feed the monthly S&OP cycle, informing capacity, procurement, and production planning. Construct automated dashboards and KPI tracking suites for executive visibility. Maintain analytical models for inventory optimization, lead time analysis, supplier performance, and capacity utilization. Build predictive models to anticipate supply disruptions and cost escalation. Own the reporting layer for costed bills of materials, ensuring visibility into material costs, labor, and overhead. Develop scenario models to evaluate the cost impact of design changes, sourcing decisions, and volume shifts.
Required 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
- On-Site in Clarksburg, MD
- Up to 10% travel required
Desired 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
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