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Artificial intelligence engineer • uttenreuth
Senior Manager Retail Analytics - Europe (M / F / D)
AdidasHerzogenaurach, BY, DEAzure Data Engineer / Scientist (m / w / d)
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HYDROGENIOUS LOHC TECHNOLOGIES GmbHErlangen, DeutschlandW1-Professuren für Artificial Intelligence in Biomedical Engineering (Digital Health)
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- Neu!
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Spencer-OgdenErlangen, DESoftware Engineer III
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SAP Data Services Consultant (SAP BTP) (m / w / d) - Consulting, Ingenieur
infosysErlangen, DEIT Support Engineer
ISG International Service GroupBavariaSenior Manager Retail Analytics - Europe (M / F / D)
AdidasHerzogenaurach, BY, DE- Vollzeit
Purpose & Overall Relevance for the Organization :
As a Senior Manager Retail Analytics, you will be responsible for making Europe retail and franchise successful by enabling consistent data and analytics across all impact areas, continuously improve data centric & insight-based decision making and remove duplication of work, as well of creating a hub of data expertise for EU market.
Key Responsibilities :
- Develop a consistent reporting framework for Europe Retail, in accordance with Europe Retail and Franchise key strategic priorities.
- Innovate processes, procedures, tools, and ways of working by pro-actively identifying opportunities to leverage analytics and technologies.
- Define innovation roadmap, align with Retail SLT, and drive on-time implementation by closely monitoring progress, results, and milestones, proposing solutions in case of delays or deviations from plan; drive decision making.
- Act as a change agent and accelerator for machine-based forecasting as well as other innovative tools / technologies / methods by providing trainings for the Europe Retail community, organizing workshops / learning days, identifying & sharing relevant learning opportunities, etc
- Enable consistent reports for all stake holders ranging from Store teams, District Teams, Back office Retail Leadership Team
- Develop tactical and strategic reporting & analytics for Leadership to drive critical decisions in Retail.
- Create new forecasting and data modelling to identify the marginal gains in the business, particularly :
o Improved NS daily Forecasting to drive conversion / SCM / scheduling opportunities
o Leveraging opportunity using Machine learning / Artificial intelligence skills
o Improved Correlation analysis on various factors impacting performance.
Key Relationships :
Knowledge, Skills and Abilities :
Requisite Education and Experience / Minimum Qualifications :