Sr Manager Demand Planning Data Analysis

Responsibilities: 

Business decision enablement

• Establish sample data panel for sales, purchasing and inventory planning to enable scientific analytics by leveraging AI modelling or advanced data-driven analytical tools;
• Conduct POC of advanced modelling on sales, purchasing and inventory forecasting;
• Analyze planning data to identify risks and opportunities across buy, sell and inventory management.
• Conduct holistic analysis of planning data to identify improvement areas in daily operations and processes.
• Translate business questions and concerns into specific analytical questions that can be answered through data analysis.
• Work with DNA to improve sell-out forecasting models and algorithms, including NOS and key franchise/category.
• Support data-driven decision-making through structured analysis, clear insights and cross-functional collaboration.

Dashboard / reporting / Data foundation:

• Work with DNA and technology teams to enhance the data foundation, elevate end-to-end data governance and quality, and unlock reporting and dashboards.
• Drive data and reporting AI solutions to simplify daily work, support data-driven decision-making and enable ad-hoc analysis.
• Deliver and enhance planning/forecasting tools or BI reporting solutions, champion improvements in data technology and AI applications, simplify communication and enable business decisions.

KPIs:

• Control and steer all relevant Metrics and KPIs of Demand Planning data quality and accuracy, i.e. SP, OC, Sell out forecasting, Inventory Rolling, etc.

Key Contacts:

• Finance (FP&A, Brand Finance)
• DNA
• SCM
• Channels
• Technology Teams

Knowledge, Skills and Abilities:

• Strong knowledge of analytics, PowerBI and AI-driven data techniques, especially in data processing by SQL, Python, MATLAB, R, etc.
• Solid statistical analysis skills (e.g., sampling/validation, causal analysis, outlier detection and back-trend testing). Apply AI-driven automation to develop data cleaning and reformatting scripts.
• Passion for problem solving and business improvement.
• Ability to manage complex situation and challenges
• Good communication and negotiation skills
• Strong business acumen and insights in sports or retail industry.
• Ability to think end to end
• Good English in both speaking and writing.

Educational Background/ Minimum requirements: 

• Qualified to Master’s Degree level or equivalent relevant experience
• 5+ years of work experience in analytics and technology, with hands-on experience in data validation/quality, large-scale database administration and dashboarding/reporting.
• 2-3 years project management experience