Job Responsibilities:
- 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.
Education:
- Bachelor’s degree or data analysis certifications preferred.
- MBA or master’s in data science a plus.
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Seniority level
Mid-Senior level -
Employment type
Contract -
Job function
Information Technology -
Industries
Staffing and Recruiting
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