Sr Manager Demand Planning Data Analysis

Shanghai
Permanent
Full-time

1 day ago

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Accept CloseSearch by KeywordSearch by LocationSearch by KeywordSearch by LocationLoading...Team:LocationType:Grade:Create Alert×Select how often (in days) to receive an alert:StartPlease wait...Sr Manager Demand Planning Data AnalysisResponsibilities: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

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