SummaryThe Obsolescence & Business Planning Analyst is responsible for delivering actionable product performance insights to support financial and operational decision-making. This role involves regular review and update of obsolescence plans, monthly direct margin and revenue contribution analysis, and annual product budget support. The position serves as a critical link between Finance, Planning, Merchandising, and other business units.
Responsibilities- Perform regular analysis of inventory productivity and identify areas of opportunity to alleviate excess inventory.
- Support cross-functional obsolescence process, guiding partners across Merchandising, Planning, Retail, and Operations through lifecycle plans and disposition activities.
- Present analyses and make recommendations on disposition plans to maximize lifecycle planning goals and minimize expense.
- Act as subject matter expert for obsolescence reporting and execution.
- Prepare, review, and maintain Power BI data model and related reports to support revenue and margin variance analysis.
- Work with Manager and VP to develop and test quantitative results against qualitative assumptions.
- Support development and administration of data used in annual product budget aggregation and reconciliation.
- Recommend pricing structure for merchandise identified for sale through Employee Store or LVMH Group Channels.
- Regularly review pricing in the context of sales, inventory, and duration, and make recommendations for price changes.
- Ensure assortment alignment between Employee Store channels and partner on site merchandising opportunities.
- Facilitate SKU creation and support ad hoc requests for Employee Store merchandise.
- Identify opportunities for process improvement and reporting optimization.
- Refresh and upkeep legacy Category Reporting and Analytics data models.
Requirements- Bachelor’s degree in quantitative discipline or comparable experience.
- Prior experience in a similar role with financial and operational inventory management.
- Excellent analytical skills and proficiency with Microsoft Office applications.
- Clarity in communication, verbal and written.
- Ability to build relationships and communicate effectively across levels and functional areas.
- Results oriented and self-motivated with strong drive for achievement.
- Proficiency with Data Visualization/Analytics Tools (e.g., Business Objects, PowerBI, or Tableau).
- Preferred: Proficiency in Data Analysis Languages (DAX, SQL, R, etc.).
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