Adidas MANAGER DATA SOLUTIONS TRADING & FORECASTING DIGITAL ANALYTICS ECOMMERCE 

China, Shanghai, Yangpu District 

350349381

:

• Drive and support the overall JAPAN e-com Trading and Performance Reporting (Product, Category, Sales, KPIs) and the JAPAN e-com Forecasting practice (Forecast Built-up, Forecast Review & Forecast Accuracy)
• Responsible to build demand based Forecasting model / executions and capabilities building through application of the full set of advanced analysis methodologies to optimize data analysis & forecasting. This includes framing of business needs, data exploration as well as descriptive, predictive and prescriptive modeling.
• Identify Demand gaps, risks and uplift and provide visibility and actionable advices to the broad stakeholders to ensure targets are achieved.
• Mangage and provides advice to stakeholders to adopt and adhere to the agreed forecast and demand management approach and follow-up actions.
• Implement and support analytics tools/reporting framework within e-commerce to facilitate every decision maker access to the information needed in the shape needed – dashboards, visualization tools, reports etc.
• 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.
• Enable and Support Trading & Products Analytics, working side by side in symbiosis with the JAPAN e-com Buying and Trading function.
• Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights.
• 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
• Work closely with Competitive Intelligence Analytics within the team to monitor and analyze market products trends and competitor activities and derive conclusions for the growth and optimization of adidas categories and products, identifying gaps, opportunities and risk within JAPAN e-com business and the digital marketplace landscape.
• Implement analytics tools/reporting framework within e-commerce to facilitate every decision maker access to the information needed in the shape needed – dashboards, visualization tools, reports etcAdvise stakeholders in your area of responsibility on digital analytics to define goals, select appropriate KPIs, monitor performance and derive trends and opportunities.
• Lead the continuous development of the analytics practice in scope, including service portfolio evolution and constant screening of the ecosystem for new models, capabilities, partners or solutions.
• Build a strong internal and external network, informing the adidas Digital Analytics 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.

Key Relationships:

• JAPAN e-com team
• JAPAN Function teams (Finance, DNA, Brand, Sales, SCM…)
• Global Digital teams
• Global BI & Analytics teams
• External vendors

• Degree with focus in Business, Finance, Economics, Math, Data Science or related field preferred, or equivalent combination of education and experience
• Minimum 3-5 years of experience working in Digital Analytics, Data Analytics, Business Intelligence, Demand forecasting & planning, Data Science or equivalent experience
• Experience in e-commerce environment
• Experience in or familiarity with analytics platforms, especially in their integration or deriving insights requiring multiple sources
• Industry: Ideally in apparel/fashion/shoes or internet

:

• 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 complex topics to technical and non-technical audience both in person and remotely at various organizational levels
• A passion for designing and creating 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
• Creative and energetic team player who has a passion for delivering analytics, data, insights to drive outcomes for quantifiable improvements in business results and consumer satisfaction.
• Outspoken and Confident
• People management skills is a plus
• Broad understanding of and passion for the sports and fashion/entertainment industry

:

• Advanced experience in Digital Analytics, BI, Financial, Digital tools
• Hands-on experience with analytics, statistics, data visualization, and analytics tools and disciplines
• Proficient in MS Office (with an emphasis on Excel), Alteryx or at least one querying language
• Experience with process design and process improvements, automation, etc.
• Proven project management skills, including the ability to lead projects or work on several projects simultaneously.
• Plus would be considered:
  • Experience in forecasting and predictive models
  • Advanced experience with Analytics Blending & Visualization Tools (PowerBI, Tableau, MicroStrategy, Alteryx, SQL…)
  • Advanced experience with traffic analytics tools, marketing & media KPIs and ROI
  • Advanced experience with reporting and digital marketing tools (GA 360, doubleclick, Adobe Analytics, SCV, propensity modelling etc).
  • Advanced experience Experience with Web Analytics and Native app (iOS/Android) analytics (Adobe Analytics, Google Analytics, Webtrends, Wetrekk, Amplitude, AppsFlyer, FireBase…).
  • Experience with Voice of the Customer tool (Martitz CX, Medallia, Qualtrics)
  • Experience with Advanced Analytics Tools/ language (R, Python, SQL,etc…)
  • Customer Experience Measurement (Tealeaf CEM, Clicktale, QM, Crazyegg)
  • 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)
• Fluent English, Japanese / bi-lingual prefered