Senior Retail Pricing Analyst

Senior Analyst, Retail Pricing & Analytics

Location: Orlando, FL preferred, remote considered
Schedule: Monday through Friday
Employment Type: Contract

We are seeking a Senior Analyst, Retail Pricing & Analytics to support strategic pricing and retail performance initiatives across both e-commerce and brick-and-mortar environments. This role will focus on pricing strategy, retail analytics, dashboard development, and business intelligence to help drive revenue growth, margin optimization, and operational decision-making. 

The ideal candidate is analytical, business-minded, and comfortable translating complex retail data into actionable insights for cross-functional teams including Merchandising, Planning, Finance, and Operations.

Key Responsibilities

• Analyze pricing performance, promotional effectiveness, markdown impact, and margin trends to identify opportunities for revenue optimization
• Conduct retail performance analysis related to customer behavior, product lifecycle, inventory movement, and merchandising trends
• Partner with business stakeholders to support pricing recommendations and evaluate business impact
• Develop and maintain Tableau dashboards and reporting tools to support pricing and retail KPIs
• Write SQL queries to extract, clean, and transform large datasets from cloud-based data environments
• Support scalable reporting and analytics workflows that improve business visibility and decision-making
• Collaborate with technical and business teams to deliver data-driven solutions and recommendations
• Assist with exploratory analysis and advanced modeling initiatives related to retail performance and

Required Qualifications

• Bachelor's degree in Finance, Economics, Mathematics, Data Analytics, Computer Science, or related field, or equivalent professional experience
• 3+ years of experience in retail analytics, pricing analysis, merchandising analytics, or business intelligence
• Strong understanding of retail pricing concepts including promotions, markdowns, margin drivers, and pricing strategy
• Experience supporting retail operations across physical stores and/or e-commerce platforms
• Intermediate to advanced SQL skills with experience working with large datasets
• Strong Tableau or similar dashboarding and data visualization experience
• Excellent communication skills with the ability to present analytical findings to non-technical stakeholders
• Strong business acumen and problem-solving capabilities

Preferred Qualifications

• Experience with Python for data analysis and reporting automation
• Exposure to cloud-based data warehouse platforms such as Snowflake, BigQuery, or Redshift
• Experience working in retail, consumer products, merchandising, or pricing-focused environments
• Advanced degree in Analytics, Data Science, Economics, Mathematics, or related discipline

Additional Information

• Orlando-based candidates are preferred, with a hybrid onsite schedule
• Remote candidates may be considered based on experience and market availability
• Interview process may include a technical assessment focused on analytics and reporting capabilities

If you thrive in a fast-paced retail analytics environment and enjoy turning data into strategic business insights, we'd love to connect.