Adidas MGR PLANNING & FORECASTING ANALYTICS 

United States, South Carolina, Spartanburg 

569073654

:

• Own and drive the overall EM e-com Business Performance Reporting (Sales, KPIs) and the EM e-com Forecasting practice (Forecast Review & Forecast Accuracy).
• Identify Demand gaps, risks and uplift and provide visibility and actionable advice to the broad stakeholders to ensure targets are achieved.
• Manage and provides advice to stakeholders to adopt and adhere to the agreed forecast and demand management approach and follow-up actions.
• Ensure tools and systems daily routines & activities, refresh, updates and scheduling.
• Support deep-dives, ad-hoc analysis and contextual dashboards with relevant platforms and channels.
• Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights.
• Advise stakeholders in your area of responsibility to define goals, select appropriate KPIs, monitor performance and derive trends and opportunities.
• Build a strong internal and external network, informing the adidas Digital community on the latest trends and technological advances.
• Maintain quality, set good development practices, and define standards that keep the focus on the right things.
• Enable and Support Products Analytics, working side by side in symbiosis with the EM e-com Buying and Trading function.
• Create new trading capabilities for our business and align with cross functional stake holders to implement and enhance the framework for order and article level profitability that will serve as the foundation for marketing campaign and range effectiveness.
• Work directly with business partners to optimize our own site, partner offerings, & app, drive marketing campaigns from assortment to target audience, and generate insights to maximize sales opportunities of managed portfolio of products
• Monitor and analyze market trends and competitor activities and derive conclusions for the growth and optimization of adidas Digital sales, identifying gaps, opportunities and risk within EM e-com business and the digital marketplace landscape.
• Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights.

Key Relationships:

• EM Hub e-com team
• EM Function teams (Finance, DNA, Brand, Sales, SCM…)
• Country-Clusters (C/C) market teams & group functions
• Global Digital teams
• Global BI & Analytics teams

Requisite Education and Experience / Minimum Qualifications:

• Degree with focus in Business, Finance, Economics, Math or related field preferred, or equivalent combination of education and experience
• Minimum 5 years of experience working in eCommerce Business planning, Data Analytics, Business Intelligence, Demand forecasting or equivalent experience
• Experience in e-commerce environment preferred
• Experience in data handling and analytics platforms, especially in their integration or deriving insights requiring multiple sources
• Industry: Ideally in apparel/fashion/shoes or internet
• Experience in leading cross-geography teams

:

• Broad understanding and passion for Digital and e-com
• Understanding of multi-platform e-commerce
• Deep knowledge of Digital and e-com analytics
• Ability to efficiently work in a cross-functional organization, ability to develop influential and collaborative relationships with stakeholders from digital and non-digital disciplines on all levels
• Excellent communication & negotiation skills, comfortable presenting business challenges and opportunities at various organizational levels
• A passion for contributing to new data capabilities, tools, and frameworks. Interest in “back-of-house” development of analytics capabilities. Devotion to accuracy, reliability, rigor, and user-focused design.
• Meticulous, high attention to details with Bias to action
• Outspoken and Confident
• Broad understanding of and passion for the sports and fashion/entertainment industry

:

• Experience in Digital Analytics, BI, Financial, Digital tools
• Hands-on experience with data visualization, and analytics tools and disciplines
• Proficient in MS Office (with Excellent skills with Excel). Preferred Alteryx or at least one querying language
• Experience with process design and process improvements, automation, etc.
• Plus, would be considered:
  • Experience in forecasting and predictive models
  • Advanced experience with Analytics Blending & Visualization Tools (PowerBI, MicroStrategy, SQL…)
  • Understanding of traffic analytics, marketing & media KPIs and ROI
  • Experience with Web Analytics and Native app (iOS/Android) analytics (Adobe Analytics, Google Analytics, Amplitude, AppsFlyer, FireBase…).
  • Experience with Advanced Analytics Tools/ language such as R/Python is good to have
  • Experience in relevant digital disciplines (e-com, Social, online communities, loyalty programs, CRM, SEO/SEM)
  • Experience with AB and Multi-variate testing tools preferred (e.g. Optimizely, VWO, Test & Target)
  • Experience in working with data science and engineering teams
• Fluent English both verbally and written