Supply Demand Data Analyst

ROLE – Supply Demand Data Analyst

LOCATION – Cupertino

RATE - C2C/1099

MAIN SKILLS -Experience with supply/demand planning, inventory management or retail merchandising, Very strongExcel and data management; Data visualizations (Tableau/Power BI)

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 strongExcel 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