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7 дней назад

Operations Analytics Manager (Supply Chain Analytics)

120 000 - 160 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Operations Analytics Manager (Supply Chain Analytics): Building the operational data warehouse, forecasting models, and reporting systems that support S&OP, demand planning, supply chain optimization, and production decisions with an accent on ETL pipelines, statistical and ML-driven forecasting, and costed BOM analytics. Focus on integrating ERP and CRM data, modeling supply disruptions and demand variability, and translating complex operational insights into executive decisions.

Location: On-site in Clarksburg, Maryland, United States; up to 10% travel required. The position may require eligibility to obtain and maintain a U.S. security clearance.

Salary: $120,000–$160,000 per year, plus potential equity and benefits.

Company

Develops autonomous weapons, sensors, and battlefield systems connected through integrated autonomous networks.

What you will do

  • Design and build an operational data warehouse integrating NetSuite, Salesforce, and other business systems.
  • Own ETL pipelines, data quality, governance, architecture, and system integrations.
  • Build statistical and machine-learning demand forecasting models for monthly S&OP, capacity, procurement, and production planning.
  • Develop automated dashboards, KPI tracking, and reporting for operational and executive visibility.
  • Create analytical models for inventory optimization, lead-time analysis, supplier performance, capacity utilization, and supply disruption risks.
  • Own costed BOM data pipelines and scenario models covering material costs, labor, overhead, design changes, sourcing decisions, and volume shifts.

Requirements

  • 5+ years of experience in data science, analytics engineering, or operations/revenue analytics.
  • Proficiency in Python and SQL, with experience using Snowflake or an equivalent cloud data platform.
  • Hands-on experience building production forecasting models and data pipelines.
  • Ability to explain complex model outputs clearly to non-technical stakeholders and senior leadership.
  • Cross-functional experience with Finance, Sales, Supply Chain, or Operations.
  • Bachelor’s degree in supply chain, engineering, business, or a related field.

Nice to have

  • Experience with supply chain analytics, S&OP, costed BOMs, or manufacturing and operations environments.
  • Familiarity with ERP or WMS data models, including NetSuite, SAP, or similar systems.
  • Generative AI or LLM integration experience in operational or analytical workflows.

Culture & Benefits

  • Full-time employment with equity included in most high-demand roles.
  • Three premium healthcare plan options, including an HSA-eligible plan, with 80% of premiums covered for employees and dependents.
  • Paid time off, an extensive holiday calendar with a December winter break, and at least seven weeks of paid parental leave.
  • $9,000 annual tuition reimbursement or professional development stipend.
  • Company-paid life, AD&D, and short- and long-term disability insurance.
  • 401(k) plan with traditional, Roth, and after-tax deferral options and company matching up to 4%.

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