Career Center

Global Data Analyst, Store Experience Product Launch

Location: Cupertino (hybrid), CA
Posted 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.