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PDS Tech Inc Store Experience Product Launch Global Data Analyst in Cupertino, California

PDS Tech, Inc. is seeking a Store Experience Product Launch Global Data Analyst


  • 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


  • Bachelor’s degree or data analysis certifications preferred. MBA or master’s in data science a plus.

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.