Manager Business Planning and Forecasting Analytics

E-COM, DIGITAL ANALYTICS
BUSINESS PLANNING & FORECASTING
MANAGERArea: Global Sales
Department: e-commerce
Direct Reporting Line: Senior Manager, Business Performance & Forecasting, e-com
Secondary reporting line: Senior Director, planning and digital analytics
Subsidiary/country: EM Hub
Location: Singapore
GSMS Grade: M4
- Purpose & Overall Relevance for the Organization:
Key Responsibilities:
- Business Performance & Forecasting:
- 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..
- Drive and support the overall e-com Business Performance Reporting (Sales, KPIs) and the e-com Forecasting practice (Forecast Built-up, Forecast Review & Forecast Accuracy).
- Identify Demand gaps, risks and uplift and provide visibility and actionable advices 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 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:
- EM Hub e-com team
- Function teams (Finance, DNA, Brand, Sales, SCM )
- Country-Clusters (C/C) e-commerce teams
- Country-Clusters (C/C) market teams & group functions
- Global Digital teams
- Global BI & Analytics teams
- External vendors

Requisite Education and Experience / Minimum Qualifications:
- 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 with Python and SQL.
- Familiarity with power BI.
- Industry: Ideally in apparel/fashion/shoes or internet
- Knowledge & Soft Skills:
- 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
- Broad understanding of and passion for the sports and fashion/entertainment industry
- Hard Skills:
- Advanced experience in Digital Analytics, BI, Financial, Digital tools
- Hands-on experience with analytics, statistics, data visualization, and analytics tools and disciplines
- Proficiency in programming languages such as Python and SQL for data manipulation and analysis.
- Familiarity with data visualization tool Power BI,
- Proficient in MS Office (with an emphasis on Excel)
- 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.
- Additionally would be good to have:

- Experience in forecasting and predictive models
- Advanced experience with Analytics Blending & Visualization Tools ( Tableau, MicroStrategy, Alteryx)
- Advanced experience with traffic analytics tools, marketing & media KPIs and ROI
- Advanced experience with reporting and digital marketing tools (GA 360, doubleclick, Adobe Analytics, propensity modelling e