Senior Category Analytics & Merchandising Lead

Advantage Solutions

Matthews (NC)

On-site

USD 48,000 - 64,000

Full time

11 days ago
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Benefits offered by this job

Medical, dental, vision benefits
401(k) with company match
Training and career development
Generous paid time-off

Job summary

Advantage Solutions is seeking an SAS Sr Category Analyst in Matthews, NC. The role supports Category Merchandising by delivering reports on merchandising, pricing, and customer behavior, optimizing assortment in collaboration with the schematic analyst team.

The role focuses on schematic assortments and requires strong Excel and Power BI capabilities, with an emphasis on cross-functional collaboration and deadline-driven performance.

Qualifications

  • Bachelor's degree or equivalent job-related experience.
  • Experience analyzing data in a professional setting.
  • Merchandising experience is a plus.
  • Knowledge of industry products and space planning processes; cross-department collaboration.
  • Able to meet deadlines with strong organizational skills.
  • Excellent communication abilities.
  • Detail-oriented, curious, and quick to learn.

Responsibilities

  • Create dashboards and reports to support assortment and merchandising decisions.
  • Conduct pricing and margin analyses to support profitability.
  • Analyze category performance and store-level results.
  • Identify and report data errors; provide analytics to supporting departments.
  • Assist category managers with market-specific assortment decisions.

Skills

PowerBI
Excel
Data analysis
Merchandising
Dashboard reporting
Communication

Education

Bachelor's degree or equivalent

Tools

Power BI
Excel
SQL

Job description

Advantage Solutions is seeking an SAS Sr Category Analyst in Matthews, NC. The role supports Category Merchandising by delivering reports on merchandising, pricing, and customer behavior, optimizing assortment in collaboration with the schematic analyst team.

The role focuses on schematic assortments and requires strong Excel and Power BI capabilities, with an emphasis on cross-functional collaboration and deadline-driven performance.

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