Operations Analytics Manager

About the role

We are seeking a Senior Data Scientist, Operations Analytics to join the Operations leadership team. This is a high-impact, execution-focused role for a builder who thrives on turning messy operational data into clear, decision-ready intelligence.

You will own the end-to-end analytics stack for operations; designing and deploying the data infrastructure, predictive models, and reporting that drives sales & operations planning, demand forecasting, and supply chain and production optimization. This is a strategic seat on the Operations leadership team, setting the standard for analytical rigor, ownership, and impact.

• Operational data warehouse and infrastructure
• • Design and build the operational data warehouse: integrating data from ERP (Net Suite), 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 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.

• 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 (Net Suite, SAP, or similar).
• Generative AI or LLM integration experience applied to operational or analytical workflows.

On-Site in Clarksburg, MD

Up to 10% travel required

US Salary Range
$120,000 - $160,000

The salary range for this role is an estimate and is based on a wide variety of compensation factors. The salary offered to candidates will vary based on a variety of factors including (but not limited to) relevant work experience, education, specialized training, critical expertise, training, and more. Equity in Forterra is included in most of our full-time, high-demand roles and is therefore considered part of Forterra’s overall compensation package.

In addition to base salary and equity, Forterra offers competitive benefits for full-time employees including:

• Premium Healthcare Benefits:
  Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.
• Basic Life/AD&D, short and long-term disability insurance plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents.
• Extremely generous company holiday calendar including a winter break in December.
• Competitive paid time off (PTO) offering 20 days accrued per year.
• A minimum of 7 weeks fully paid parental leave for birth/adoption.
• A $9k annual tuition reimbursement or professional development stipend.
• Fully…