Product Costing & Operations Analyst - Apparel

The Junior Financial Operations Analyst supports product costing, cost control, and operational decision-making for Garan's apparel business. This is a hands-on, cross-functional role that follows product costs from early development through production and final cost approval. The analyst works closely with sales/account management, design, planning, sourcing, production, technical design, manufacturing partners, and corporate accounting.

The role is well suited to someone who enjoys detailed analysis, takes ownership of follow-ups, and can manage several overlapping seasonal calendars. While Excel remains central to the day-to-day work, the team is also beginning to modernize costing processes and explore new systems, automation, and responsible uses of AI.

• Build, review, compile, and reconcile detailed product cost sheets for apparel programs, including multiple styles, colors, sizes, packs, factories, and customer requirements.
• Collect and validate cost inputs such as fabric and trim prices, consumption estimates, labor/CM, duty, freight, packaging, testing, and other product-specific expenses.
• Support costing for multiple overlapping seasons and product lines, from preliminary estimates through negotiated costs, production execution, and final cost-accounting standard approval.
• Compare proposed costs with historical results, budgets, targets, and prior assumptions; clearly document the reason for changes and recommend next steps.
• Participate in sourcing meetings and price negotiations, including follow-up with factories and sourcing teams to resolve open cost questions and meet deadlines.

• Maintain accurate financial matrices and reference data, including raw-material pricing, purchasing records, cost assumptions, factory quotes, and related expenses.
• Prepare recurring and ad hoc reporting, including sales and shipping forecasts, inventory analysis, production allocation, margin and cost-change analysis, and management summaries.
• Review invoices, expenses, and supporting documentation for accuracy; investigate discrepancies and coordinate corrections with the appropriate teams.
• Assist senior management with pricing, margin, sourcing, and other strategic business decisions by translating detailed data into clear, practical recommendations.
• Support travel and expense audit and approval and other divisional-control activities as assigned.

• Coordinate with design, planning, sourcing, production, technical design, account management, manufacturing partners, and corporate accounting to keep costing and production milestones on track.
• Proactively chase missing information, identify deadline risks, elevate issues early, and communicate status and assumptions clearly to stakeholders.
• Help resolve pricing, production, and vendor discrepancies while balancing customer expectations, factory capabilities, timing, and financial objectives.
• Take ownership of assigned product lines and maintain organized records across multiple simultaneous priorities in a fast-paced environment.

• Use advanced Excel tools to organize, reconcile, analyze, and explain large costing datasets; improve templates and controls where practical.
• Help identify repetitive or manual steps that can be standardized, automated, or moved into improved costing, PLM, ERP, reporting, or workflow systems.
• Participate in the evaluation and adoption of new systems and responsible AI-enabled tools for costing, data validation, forecasting, document review, and workflow efficiency.
• Partner with business and technology stakeholders to translate costing requirements into clear process, data, and system needs while maintaining accuracy, confidentiality, and appropriate human review.

• Bachelor's degree in finance, accounting, supply chain management, business analytics, economics, operations, information systems, data science, financial technology, or a related field.
• Entry level to three years of relevant experience in finance, accounting, costing, operations, sourcing, manufacturing, or data analysis.
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