Global Data Analyst, Store Experience Product Launch
Location: Cupertino (hybrid), CAPosted On: 12/13/2023
Requirement Code: 66432
Requirement Detail
Duties:
Own the global Channel store merchandising landscape in preparation of a product launch:
Perform data validation and scrubbing, working with inputs from regional teams
Forecast store demos and security elements for product launches:
Develop models based on current merchandising to forecast demand at SKU-level based on global strategy, against a fluctuating baseline
Contribute to marketing strategy:
Be resourceful using sales and merchandising datasets, along with tools to research and develop insights that contribute to strategy decisions
Tell stories with data every day:
Propose and defend your ideas with strong research and compelling analyses to internal cross-functional team and sales/marketing leadership stakeholders
NPI Project management:
Lead projects across internal planning, merchandising, supply/demand and country/regional teams to ensure forecast accuracy and supply availability within a defined schedule
A mix of team & independent work: manage your deliverables and deadlines independently, but connect everything to the bigger picture with your colleagues; communicate the status and results of your independent projects to cross-functional forums
Hard Skills:
Very strong Excel and data management;
Data visualizations (Tableau/Power BI), analysis and reporting across several levels of the organization
MacOS and iOS
Experience with supply/demand planning, inventory management or retail merchandising an asset
Soft Skills:
Detail-oriented
Comfortable working in an extremely agile, collaborative, fast-paced environment with a lot of ambiguity
comfortable working with highly sensitive information
resourceful; deadline-driven; strong problem solving; ability to prioritize multiple, conflicting deliverables
Ideal candidates would have a passion for data storytelling, problem solving, and an interest in collaborating with others to shape the in-store experience for a major tech brand
Education: Bachelor's degree or data analysis certifications preferred. MBA or master's in data science a plus.