Our client, an American multinational mass media and entertainment conglomerate, is currently seeking a Sr. Retail Pricing Analyst

Sr. Retail Pricing Analyst

Contract Length: 6 month contract, W-2

Location: Kissimmee FL

Pay Rate: $86.66

We are seeking a Senior Analyst, Retail Pricing to support high-impact pricing and retail analytics initiatives across both. This role will play a key part in shaping pricing strategy by delivering insights on, price performance, price elasticity and margin optimization, while also supporting broader retail analytics across merchandising, inventory, and operations.

The ideal candidate combines strong business acumen with hands-on analytical expertise and a passion for retail pricing. This role will partner closely with Planning, Finance, and Merchandising to evaluate pricing performance, inform price-setting decisions, and identify opportunities to drive revenue and margin improvement. In addition, the role will support dashboard development, data exploration, and scalable analytics to enable data-driven decision-making across global retail footprint.

This role will report to the Sr. Manager, Data Science.

Responsibilities

• Pricing Strategy & Optimization: Analyze pricing performance, including price elasticity, promotional impact, and markdown effectiveness, to identify opportunities to optimize revenue and margin across product categories.
• Deliver Actionable Business Insights: Conduct deep-dive analyses on retail performance, including pricing, promotions, customer behavior, and product lifecycle, to inform merchandising and planning decisions.
• Support Pricing Operations: Partner with Planning and Finance teams to evaluate price recommendations, monitor execution, and assess business impact through structured performance measurement.
• Build and Maintain Visual Dashboards: Develop intuitive, automated Tableau dashboards and self-service reporting tools to track pricing KPIs (e.g., AUR, margin, sell-through, lift) and broader retail performance metrics.
• Collaborate with Cross-Functional Teams: Work closely with Merchandising, Planning, Finance, and technology partners to translate business needs into analytical solutions and clearly communicate insights and recommendations.
• Develop Scalable Analytical Solutions: Write SQL code to extract, clean, and transform large datasets from cloud-based sources (e.g., Snowflake, BigQuery) to support repeatable pricing and retail analytics workflows.
• * Support Data Science Initiatives: Collaborate with data scientists on advanced pricing and demand modeling by preparing datasets, conducting exploratory analysis, and validating outputs to ensure business applicability.

Basic Qualifications

• Bachelor's degree in Finance, Economics, Mathematics, Data Analytics, Computer Science, or a related field, or 3+ years of relevant experience in retail analytics, pricing, or business intelligence.
• Pricing & Retail Acumen (3+ years): Strong understanding of retail pricing concepts, including price elasticity, promotional strategy, markdown optimization, and margin drivers. Ability to translate pricing insights into actionable business recommendations.
• Retail Analytics Experience (3+ years): Experience supporting merchandising, buying, planning, or pricing functions in retail environments across brick-and-mortar and e-commerce channels. Familiarity with POS data, inventory systems, and product lifecycle metrics.
• SQL & Data Management (2+ years): Advanced SQL skills to extract, join, and transform large datasets; experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Dashboarding & Data Visualization (2+ years): Expert-level experience building dashboards and reports in Tableau or similar tools to support pricing and retail decision-making.
• Preferred Qualifications
• Advanced degree (MS or PhD) in Mathematics, Economics, Data Science, Computer Science, Operations Research, or related field.
• Python (2+ years): Proficiency in Python (e.g., pandas, NumPy) for data analysis and pricing-related modeling support

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.