Interim Pricing Analyst – Retail

West London | Onsite | Salary Competitive | 1 Year FTC

CANDIDATES NEED TO BE AVAILBLE TO START BEGINNING OF DECEMBER

Omnis Partners is delighted to support our client in the search for an Interim Pricing Analyst – Retail. This is a fantastic opportunity to make a real commercial impact by shaping and optimising retail pricing strategies across multiple European markets.

In this role, you’ll partner with senior leaders in pricing, retail operations, and customer insights to deliver robust data analysis and actionable recommendations. You’ll be hands-on in developing ticketing and retail pricing models, conducting competitor intelligence, and managing retail master data governance, helping to drive long-term customer value and profitability.

This role suits a pricing professional with strong technical skills, a curiosity for data, and the ability to influence stakeholders at all levels.

Key Responsibilities

• Develop, refine, and evaluate dynamic ticket pricing models across European territories.
• Track competitor pricing activity and integrate insights into reporting and reviews.
• Support retail pricing strategies, including clustering, price points, promotional offers, and forecasting.
• Deliver actionable insights using price elasticity modelling and predictive demand forecasting.
• Govern retail master data in ERP systems, optimising hierarchies and structures.
• Design and deliver A/B testing frameworks for pricing experiments.
• Build scalable dashboards and reporting tools (Power BI preferred).
• Partner cross-functionally to support commercial growth initiatives.
• Keep up to date with pricing trends, analytics tools, and best practices.

Candidate Profile

• Proven experience in retail pricing is essential, with exposure to both site-level and e-commerce pricing data.
• Strong background in price elasticity modelling and applying machine learning to demand forecasting.
• Expert SQL skills, with hands-on experience in Python and data science libraries.
• Confident in data visualisation (Power BI preferred) and reporting frameworks.
• Comfortable working with large, complex datasets.
• Excellent communicator who can translate technical insights into business recommendations.
• Highly organised, commercially astute, and able to thrive in a fast-paced retail environment.
• Degree in a quantitative field (Statistics, Mathematics, Economics, Physics) is advantageous.

If you’re a data-driven retail pricing analyst with a passion for turning insights into commercial impact, we’d love to hear from you