Global Cost Analytics Lead – COGS & Forecasting

Kovalus Separation Solutions LLC; Ciénega de Flores; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Kovalus Separation Solutions LLC is seeking a Senior Cost Accounting Analyst to report to the Chief Financial Officer and manage cost data across multiple manufacturing sites. The role focuses on detailed COGS reporting, cost analysis, and drive profitability through variance improvements.

Ideal candidates bring 5–10 years of cost accounting experience, GAAP knowledge, and strong data analytics. The position requires on-site collaboration with manufacturing leaders across locations, with a path

Formación

• 5–10 years of cost accounting & analysis experience.
• Strong accounting and financial acumen including U.S. GAAP knowledge.
• Detail-oriented with strict deadlines.
• Collaborative with cross-functional global teams.

Responsabilidades

• Report and analyze all aspects of cost of goods sold for multiple company sites.
• Conduct complex financial research on organizational expenses, especially COGS.
• Enable accurate budgets/forecasts and identify cost-saving opportunities.
• Provide proactive recommendations to operations for variances.
• Prepare KPI dashboards and reporting tools for senior management.
• Support financial close with global site teams and cost accounting needs.
• Assist cost proposals, project quotes, and pricing activities.
• Maintain accounting policies and internal controls.

Conocimientos

Cost accounting

GAAP knowledge

Data analysis

Leadership

Cross-functional teamwork

Financial reporting

Herramientas

Power BI

Descripción del empleo

Kovalus Separation Solutions LLC is seeking a Senior Cost Accounting Analyst to report to the Chief Financial Officer and manage cost data across multiple manufacturing sites. The role focuses on detailed COGS reporting, cost analysis, and drive profitability through variance improvements.

Ideal candidates bring 5–10 years of cost accounting experience, GAAP knowledge, and strong data analytics. The position requires on-site collaboration with manufacturing leaders across locations, with a path