Senior Footwear Costing Analyst
Job Summary
The Footwear Costing Data & Operations team is seeking a Senior Analyst based in Singapore to lead costing operations and data strategy. You will partner with cross-functional teams to drive value creation, improve costing processes, and leverage advanced analytics. The role focuses on enhancing data pipelines, AI integration, and decision support to ensure operational excellence.
Responsibilities
- Lead quote operations and tooling cost balancing
- Develop/maintain costing analytics and reporting dashboards
- Manage and enhance Databricks data pipelines
- Drive continuous improvement and AI/automation initiatives
- Provide data-driven insights for margin and profitability
Required Skills
- 5+ years in data analytics/operations
- Advanced SQL and Python proficiency
- Data modeling and visualization (Power BI/Tableau)
- Cloud data platforms (Snowflake/Databricks)
- Business acumen in supply chain/costing
Job Details
KEY RESPONSIBILITIES:
- Lead quote operations, tooling cost balancing, and costing process alignment with internal and external costing teams.
- Develop, maintain, and enhance critical costing analytics solutions and data pipelines, including dashboards in Power BI, Tableau, and other reporting tools, to ensure data integrity, reliable operations, and timely business insights.
- Co-lead the development, enhancement, and stability of analytics capabilities within Databricks, partnering with business and technology teams to deliver scalable and reliable data solutions.
- Support seasonal business reviews, leadership updates, performance scorecards tabulation, and strategic initiatives through accurate reporting, insightful analysis, and data-driven recommendations to improve profitability and support margin objectives.
- Champion continuous improvement, data governance, and innovation to build a more connected, intelligent, and scalable costing operation.
- Advance analytics and AI capabilities by identifying opportunities to embed automation, predictive insights, and AI-enabled solutions into everyday work.
QUALIFICATIONS:
- Bachelor’s degree in Finance, Engineering, Business Analytics, Supply Chain, or a related field.
- Minimum 5 years of experience in data analytics or intelligence, business operations, finance, product development, sourcing, costing, engineering, manufacturing, or related analytical or operational functions.
- Proven track record of driving process improvements, automation, or digital transformation initiatives that enhance efficiency.
- Experience developing reports, dashboards, data models, and analytical tools that support decision-making and operational excellence.
- Advanced proficiency in SQL and Python, with hands-on experience working with large-scale datasets and cloud-based data platforms such as Snowflake or Databricks preferred.