Job Summary:
This role responsible to provide data-driven insights across all product categories to support portfolio reviews, forecasting, and product improvement decisions. This role enables informed decision-making by analyzing product performance, trends, and cost structures to support business growth and profitability.
Job Descriptions:
Product Performance, Trend Analysis & Portfolio Support
- Analyze sales performance drivers and trends across all product categories, and support portfolio reviews and forecasting with data-driven insights to guide product prioritization and planning. Provide data-driven insights to support portfolio reviews, demand forecasting, and strategic planning, enabling effective product prioritization and lifecycle management.
Category Collaboration & Improvement Identification
- Partner with Category/Product Managers to identify product improvement, cost optimization, and rationalization opportunities based on structured analysis.
Cross-category Reporting & Insight Development
- Design, build, and maintain interactive dashboards and standardized reports (e.g., Power BI /Tableau) to provide real-time visibility into product performance across categories. Translate complex data into actionable insights to support management decision-making.
Business Case & Ad-hoc Analysis Support
- Support business cases, pricing reviews, and ad-hoc analytical requests related to product and portfolio decisions.
Data Accuracy & Analytical Discipline
- Ensure accuracy, consistency, and reliability of product-related data used in analysis, reporting, and portfolio discussions.
Requirements:
- Bachelor's degree in Business, Marketing, Data Analytics, Entrepreneurship, Economics, or related fields.
- Minimum 3 years of working experience in product / business data analyst or strategic planning.
- Preferably experienced in household and home appliances industry.
- Experience working with cross-functional teams and managing stakeholder expectations.
- Solid analytical and quantitative skills; ability to interpret data and trends effectively.
- Excellent interpersonal and communication skills.
- Solid analytical and quantitative skills; ability to interpret data and trends effectively.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong proficiency in Microsoft Excel and PowerPoint.
