Sr Manager Demand Planning Data Analysis

ADIDAS Alabama, United States of America

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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)
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

AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE’S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.

COURAGE: Speak up when you see an opportunity; step up when you see a need..
OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.
INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.
TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.
INTEGRITY: Play by the rules. Hold yourself and others accountable to our company’s standards.
RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.

At adidas, we strongly believe that embedding diversity, equity, and inclusion (DEI) into our culture and talent processes gives our employees a sense of belonging and our brand a real competitive advantage.

– Culture Starts With People, It Starts With You –

By recruiting talent and developing our people to reflect the rich diversity of our consumers and communities, we foster a culture of inclusion that engages our employees and authentically connects our brand with our consumers.

Job Title: Sr Manager Demand Planning Data Analysis

Brand:

Location: Shanghai

TEAM: Finance

State: SH

Country/Region: CN

Contract Type: Full time

Number: 543178

Date: May 8, 2026

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