Adidas SENIOR MANAGER SUPPLY CHAIN BUSINESS INTELLIGENCE DATA ANALYTICS M/F/D 

United States, California, Carlsbad 

726016178

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.