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Data Analyst III

Job ID: 23-02665
Job Title: Global Data Analyst (Store Experience Product Launch)
Client Location: Cupertino, CA - 95014 (This is a 40 hours a week position and would be a Hybrid role (in office on Tue, Wed and Thu))
Duration: 09 months contract with possible extension

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.
Skills: Required
  • PRESENTATION SKILLS
  • COLLECTION
  • DATA COLLECTION
  • DATA MODELING
  • DATA ANALYTICS
Additional
  • MARKETING
  • DATABASE MODELING
  • DATA SOURCES
  • PROCESS IMPROVEMENT
  • IOS
  • MAC
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