Store Experience Product Launch Global Data Analyst

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Job Title: Store Experience Product Launch Global Data Analyst
Location: Cupertino, CA(Hybrid)
Duration: 9 Months
Pay Range: $63 – $68 on W2 Hourly with Mindsource Benefits

Job Description:
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

Job # 23-00789

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