Address
Form of workArea: EM (Emerging Markets) | Global Sales
Department: e-commerce
Direct Reporting Line: Senior Director, eCommerce planning and Analytics, EM
Indirect/secondary reporting line: VP, EM e-com
Subsidiary/country: EM Hub
Location: India
GSMS Grade: M3
Number of Personnel Managed: - (Externals)
Cost Center/Budget and/or Revenue Responsibility: EM
Key Responsibilities:
Digital Data Science:
- Own and drive the overall EM e-com Digital Data Science capabilities in terms of Data availability, Data solutions, Data automation and advanced analytics Data projects for the full ecosystem (Website, Apps and Digital Platforms / eMarketplaces).
- Lead assigned projects (Global or Local) in areas such as Data Science (e.g. Project Decima), analytics implementation, database integration, marketing attribution, qualitative data, etc.
- Maintain and optimize advanced analytics tools/reporting framework within EM e-com so that every decision maker has access to the information needed in the way they want it - dashboards, visualization tools, reports etc.
- Provide support and ownership Data Visualization, advanced BI capabilties and toolsets, Dashboarding for all team.
- Build Data Automation and Data validation capabilities to ensure data flows are optimize and manual intervention is reduced
- Drive Data capabilities building through application of the full set of advanced analysis methodologies to optimize data analysis. This includes framing of business needs, data and KPIs exploration and benchmarking as well as descriptive, predictive and prescriptive modeling.
- Manage demand for insights and delivery of analytics services. Oversee the collection, tracking, mining and analysis of data and the generation of fact-based insights. Support digital product to increase reach, engagement, buy and advocacy and inform strategy.
- 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 etc.
- 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.
- Lead and manage the relationship with analytics vendors to ensure that the needs of the analytics team are met and advanced data capabilities are rollout.
- 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.
- EM Hub e-com team
- EM Function teams (Finance, DNA, Brand, Sales, SCM...)
- Country-Clusters (C/C) e-commerce teams
- Global Digital teams
- External vendors
- Degree with focus in Economics, Math, Data Science or related field preferred, or equivalent combination of education and 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/footwear/technology
- 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
- 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 are a plus
- Broad understanding of and passion for the sports and fashion/entertainment industry
- Highly Advanced experience in Data Science, Data solutions, Data Automation
- Advanced experience in Digital Analytics, BI, Financial, Digital tools
- Hands-on experience with analytics, statistics, data visualization, and analytics tools and disciplines
- 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
- Proficient in one or more querying languages
- Big plus would be considered:
- Experience in forecasting and predictive models
- 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 in working with Data Science And engineering teams
- Fluent English both verbally and written
