Top Skills :
1. Microsoft excel at an high-intermediate to advanced level
2. Ability to analyze data / trends and concisely report out findings & business insights
3. A plus but not required - Experience working in a retail environment
In this role you'll establish clear merchandise plans that tell a story for the season and helps merchandising to create a line grounded in profitability and consumer centric offering.
This will include collaborating with the merchandising and business units to develop and communicate a comprehensive strategy that aligns future financial plans and product opportunities.
You'll create pre-season style plans that support the ultimate goal . You'll recap and analyze the business against the financial plan, and forecast in-season sales and inventories on a weekly / monthly / quarterly basis.
In addition, you'll develop monthly forecasts of sales and inventory for all basic and fashion styles and will develop strategies to meet department financial goals and own open to buy forecasts.
Key Accountabilities
- Support product forecasting & pricing processes by managing reporting tools, analyzing data, & providing actionable insights
- Report on forecast variance weekly
- Construct and maintain reporting tools for use across the planning team
- Manage weekly markdown process across portfolio, in system and alignment with stakeholders
- Monitor price positioning across the marketplace and across the product portfolio, taking actions to adjust in accordance with overall pricing strategy
- Support monthly and seasonal inventory management activities
- Actively manage product; close-out process and aging inventory
Qualifications
- 3-5 years of professional experience
- BS in technical or semi-technical field such as Economics, Finance, Engineering, etc.
- Microsoft Excel at high-intermediate to advanced level
- Ability to independently drive toward a clear outcome with an unclear path
- Natural tendency to organize information coming from various sources and owners into clean process to drive repeatable, sustainable outcomes
- Comfort in working across multiple data sources to deliver an analytical outcome
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