Manager Business Planning and Forecasting Analytics - Singapore - Adidas

Adidas

Verified Company

Singapore

6 days ago

Posted by:

Wei Jie

beBee Recruiter

Description

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 ecom Business Performance Reporting (Sales, KPIs) and the ecom Forecasting practice (Forecast Builtup, 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 followup actions.
Ensure tools and systems daily routines & activities, refresh, updates and scheduling.
Support deepdives, adhoc 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) ecommerce 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 35 years of experience working in Digital Analytics, Data Analytics, Business Intelligence, Demand forecasting & planning, Data Science or equivalent experience
Experience in ecommerce 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 multiplatform ecommerce
Deep knowledge of Digital and ecom analytics
Ability to efficiently work in a crossfunctional organization, ability to develop influential and collaborative relationships with stakeholders from digital and nondigital disciplines on all levels
Excellent communication & negotiation skills, comfortable presenting complex topics to technical and nontechnical audience both in person and remotely at various organizational levels
A passion for designing and creating new data capabilities, tools, and frameworks. Interest in "backofhouse" development of analytics capabilities. Devotion to accuracy, reliability, rigor, and userfocused 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
Handson 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