Merchandising FP&A Analyst: Insights & Strategy

Minis; West Covina (CA); On-site; USD 85,000 - 120,000; Full time

Job summary

Minis in West Covina, CA seeks an FP&A Analyst to support the Merchandising team with financial modeling and data-driven analyses aligned to the company roadmap. You will partner with Finance to participate in budgets and forecasts, delivering insights to improve margin and inventory productivity.

The role emphasizes analytical thinking, cross-functional communication, and advanced Excel skills, with familiarity in Power BI and SQL preferred to drive decision-making.

Qualifications

• Bachelor’s degree in finance, accounting, economics, business, or related field.
• 3+ years of FP&A, financial analysis, or retail analytics in brick-and-mortar retail.
• Advanced Excel skills and experience with large datasets.
• Experience with Power BI and SQL preferred.

Responsibilities

• Analyze merchandising financial performance across sales, gross margin, and inventory productivity.
• Develop dashboards and reports to track merchandising financials and product trends.
• Build and maintain financial models for category sales, pricing, promos, and margins.
• Support forecasting and financial projections for merchandising initiatives.
• Provide data-driven insights to merchandising leadership and reviews.
• Identify risks, opportunities, and optimization ideas to improve margin and inventory productivity.

Skills

Advanced Excel

Power BI

Education

Bachelor's Degree in Finance/Accounting/Economics/Business/Data Analytics

Tools

Excel

Power BI

SQL

Job description

Minis in West Covina, CA seeks an FP&A Analyst to support the Merchandising team with financial modeling and data-driven analyses aligned to the company roadmap. You will partner with Finance to participate in budgets and forecasts, delivering insights to improve margin and inventory productivity.

The role emphasizes analytical thinking, cross-functional communication, and advanced Excel skills, with familiarity in Power BI and SQL preferred to drive decision-making.