Data Analyst Costing Operations
Job Summary
This role is for a Senior Analyst to support finance, product data management, and quote operations within a global footwear organization. The position focuses on driving data accuracy, operational excellence, and cost optimization initiatives across Asia. You will work closely with cross-functional teams to deliver data-driven insights that support strategic decision-making and business performance.
Responsibilities
- Manage footwear costing operations
- Resolve FOB costing discrepancies
- Support data migration to Databricks
- Develop KPI scorecards and business reports
- Automate workflows using AI/analytics
Required Skills
- 5+ years in Finance/Product/Costing
- SQL and Python proficiency
- Snowflake and Databricks experience
- Tableau BI dashboarding
- Advanced Microsoft Excel
Job Details
Key Responsibilities:
- Manage footwear costing quote operations by collaborating with internal costing teams, manufacturing partners, and regional stakeholders.
- Investigate and resolve FOB costing discrepancies while supporting tooling cost balancing activities.
- Support the migration of costing data from Snowflake to Databricks, including rebuilding dashboards and reporting solutions.
- Develop and maintain business reports, KPI scorecards, and seasonal product costing analysis.
- Deliver accurate financial and operational insights to support business planning and decision-making.
- Work closely with Finance, Product, Engineering, and Costing teams to improve data quality, reporting efficiency, and operational processes.
- Identify opportunities to automate workflows and leverage AI or advanced analytics to improve business performance and cost optimization.
- Drive continuous improvement initiatives to enhance costing operations and reporting capabilities.
Key Requirements:
- Bachelor's degree in Finance, Business, Engineering, or a related discipline.
- Minimum 5 years of experience in finance, product development, costing, engineering, manufacturing, or a related field.
- Good analytical and problem-solving skills with the ability to translate complex cost data into actionable business insights.
- Hands-on experience with SQL, Python, Snowflake, Databricks, and large-scale data management.
- Experience developing business intelligence dashboards using Tableau, Databricks, or similar analytics platforms.
- Advanced Microsoft Excel skills with good reporting capabilities.
- Exposure to AI tools or experience applying AI solutions to business processes is a plus.
- Self-driven, adaptable, and comfortable working in a fast-paced, cross-functional environment.