Senior Strategic Merchandising & Analytics Lead

Cub; Minneapolis (MN); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Cub is seeking a Senior Merchandising Analyst to bring rigor to promotional planning, vendor funding management, and category performance tracking. You will deliver actionable visibility to category leaders and support pricing decisions with elasticity and historical insights.

The role requires 5–10 years in retail analytics, a finance/business background, and strong Excel, Power BI/Tableau, and SQL skills. The position is hybrid, with travel as needed.

Qualifications

• Bachelor’s degree in Finance, Economics, Business, Data Analytics, or related field.
• 5-10 years of retail analytics, merchandising finance, pricing, or vendor funding experience.
• Strong knowledge of retail P&L levers, including margin, mix, markdowns, and funding.
• Experience working with Nielsen/NIQ syndicated data and/or merchandising and promo-planning tools (Cognira preferred).
• Advanced Excel; Power BI/Tableau and SQL a strong plus.

Responsibilities

• Analyze vendor funding, trade spend, and markdown activity to maximize ROI and margin rate.
• Provide category leaders with actionable visibility into funding performance, gaps, and opportunities.
• Support promo and pricing decisions using elasticity insights, competitive analysis, and historical performance.
• Build and maintain reporting that tracks sales, margin, units, mix, traffic drivers, and category trends.
• Convert complex data into clear, executive-ready recommendations.
• Lead post-mortem analysis on promotions and merchandising events with concise recommended actions.

Skills

Strong communication

Analytical thinking

Excel

Power BI

Tableau

SQL

Nielsen/NIQ data

Cognira

Pricing knowledge

Retail analytics

Education

Bachelor's degree in Finance or related

Tools

Power BI

Tableau

SQL

Cognira

Nielsen/NIQ

Job description

Cub is seeking a Senior Merchandising Analyst to bring rigor to promotional planning, vendor funding management, and category performance tracking. You will deliver actionable visibility to category leaders and support pricing decisions with elasticity and historical insights.

The role requires 5–10 years in retail analytics, a finance/business background, and strong Excel, Power BI/Tableau, and SQL skills. The position is hybrid, with travel as needed.