Sr Manager Demand Planning Data Analysis (Shanghai, SH, CN)

<p><strong>Responsibilities:</strong><strong> </strong></p> <p><strong>Business decision enablement</strong></p> <ul> <li>Establish sample data panel for sales, purchasing and inventory planning to enable scientific analytics by leveraging AI modelling or advanced data-driven analytical tools;</li> <li>Conduct POC of advanced modelling on sales, purchasing and inventory forecasting;</li> <li>Analyze planning data to identify risks and opportunities across buy, sell and inventory management.</li> <li>Conduct holistic analysis of planning data to identify improvement areas in daily operations and processes.</li> <li>Translate business questions and concerns into specific analytical questions that can be answered through data analysis.</li> <li>Work with DNA to improve sell-out forecasting models and algorithms, including NOS and key franchise/category.</li> <li>Support data-driven decision-making through structured analysis, clear insights and cross-functional collaboration.</li> </ul> <p><strong>Dashboard / reporting / Data foundation:</strong></p> <ul> <li>Work with DNA and technology teams to enhance the data foundation, elevate end-to-end data governance and quality, and unlock reporting and dashboards.</li> <li>Drive data and reporting AI solutions to simplify daily work, support data-driven decision-making and enable ad-hoc analysis.</li> <li>Deliver and enhance planning/forecasting tools or BI reporting solutions, champion improvements in data technology and AI applications, simplify communication and enable business decisions.</li> </ul> <p><strong>KPIs:</strong></p> <ul> <li>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.</li> </ul> <p><strong>Key Contacts: </strong></p> <ul type="disc"> <li>Finance (FP&amp;A, Brand Finance)</li> <li>DNA</li> <li>SCM</li> <li>Channels</li> <li>Technology Teams</li> </ul> <p><strong>Knowledge, Skills and Abilities</strong>:</p> <ul type="disc"> <li>Strong knowledge of analytics, PowerBI and AI-driven data techniques, especially in data processing by SQL, Python, MATLAB, R, etc.</li> <li>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.</li> <li>Passion for problem solving and business improvement.</li> <li>Ability to manage complex situation and challenges</li> <li>Good communication and negotiation skills</li> <li>Strong business acumen and insights in sports or retail industry.</li> <li>Ability to think end to end</li> <li>Good English in both speaking and writing.</li> </ul> <p><strong>Educational Background/ Minimum requirements: </strong></p> <ul> <li>Qualified to Master’s Degree level or equivalent relevant experience</li> <li>5+ years of work experience in analytics and technology, with hands-on experience in data validation/quality, large-scale database administration and dashboarding/reporting.</li> <li>2-3 years project management experience</li> </ul>