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Adidas SENIOR MANAGER SUPPLY CHAIN BUSINESS INTELLIGENCE M/F/D 
China, Shanghai, Yangpu District 
135966483

12.08.2024

Key Accountabilities

  • Create scalable data visualizations, and effectively communicate complex findings to diverse stakeholders.
  • Utilize SQL queries to identify relationships, causality across data to address critical management inquiries and increase business impact.
  • Lead the creation of business requirements and translate to technical and data needs for the Data Transformation team e.g. data points,architecture, and models.
  • Secure one version of truth by actively standardizing, harmonizing, and scaling reporting capabilities.
  • Ensure that all relevant metrics are timely developed, harmonized across markets and consistently documented to bring transparency.
  • Drive the deployment of the reporting capabilities, including conducting thorough validation processes and onboarding the Supply Chain reporting user community.
  • Continuously challenge the status quo by evaluating reporting capabilities ensuring reflection the updated or new business processes, defining areas of improvements.
  • Identify business opportunities and provide strategic inputs for optimizing supply chain performance by leveraging data analytics and intelligence.
  • Utilize implemented advanced analytics tools and methodologies to identify trends, patterns, and potential areas for improvement.
  • Collaborate with cross-functional teams (Global Availability Management and market functions) to implement continuous improvement, nurturing a culture of collaboration and knowledge-sharing within supply chain for seamless integration & onboarding of harmonized reporting and intelligence into decision-making.

Key Relationships

Stakeholders can relate to the following core functions:

  • SCM - Global / Market Functions (e.g. Global Availability Management)
  • SCM - Strategy & Innovation (e.g., Channel Development)
  • SCM Digital Solutions
  • Global DNA, Global TECH, and external developers

Knowledge, Capabilities and Skills

  • Self starter:Take initiative, work independently with a constant desire to improve, and embrace opportunities of trying new things where failure is an opportunity to learn.
  • Personal Resilience:Celebrates successes, sees failure is an opportunity to learn and bounce back in face of difficulty.
  • Analytical Skills:Strong analytical, diagnostic, and creative problem-solving skills, with the ability to translate data into actionable insights. Detail-oriented but lives for efficiency.
  • Communication:At ease to spend a lot of time on communication with an ability to synthesize key results from data sets and present to technical and non-technical audiences, fluency in English.
  • Collaborative style:Ability to work collaboratively in a team and create an inclusive environment with people at all levels and build relationships with cross-functional collaborators and executives.
  • Cultural Sensitivity:Capability to navigate and work effectively across diverse cultures within a multinational context.
  • Done is better than perfect:Someone who likes to talk enough about what needs to happen but is itching to get the job done. Navigates ambiguity turning complicatedsituations into doable tasks.
  • End-to-end mindset: Big picture view of problems on hand with ability to embrace innovation, challenge the status quo and drive change while anticipating and forecasting various scenarios.
  • Supply Chain Expertise:In-depth knowledge of supply chain operations, processes and KPIs. With understanding of industry best practices and trends in supply chain management.
  • Data Analytics and Modeling:Proficiency in data analysis tools, statistical methods, and predictive modeling. Experience with data visualization tools such as PowerBI & Structured Query Language.


Qualifications

  • Minimum 8+ years of relevant work experience in multinational environment.
  • Bachelor’s degree in business, Analytics, Supply Chain, or a related field. Master’s preferred.
  • Proven experience in business intelligence role with strong understanding of business intelligence concepts, tools (e.g. Power BI and Structured Query Language), and methodologies.
  • Excellent communication and interpersonal skills, with the ability to convey complex concepts to non-technical stakeholders.
  • Good understanding of supply chain principles and operating practices, logistics terminology, basic finance, and management of cross functional interdependencies.