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Pricing analyst

London
Omnis Partners
Pricing analyst
Posted: 13 October
Offer description

Interim Pricing Analyst – Retail West London | Onsite | Salary Competitive | 1 Year FTC Visa Sponsorship not available. CANDIDATES NEED TO BE AVAILBLE TO START BEGINNING OF DECEMBER Omnis Partners is delighted to be supporting 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 pricing strategies across multiple European markets. In this role, you’ll partner with senior leaders in pricing, retail, and customer insights to deliver robust data analysis and recommendations. You’ll be hands-on in developing ticketing and retail pricing models, competitor intelligence, and master data governance, helping to drive long-term customer value and profitability. This role suits a pricing professional with strong technical skills, 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 activity and integrate insights into reporting and reviews. Support retail pricing strategies, including clustering, price points, offers, and forecasting. Deliver actionable insights using price elasticity modelling and predictive demand modelling. Govern retail master data in ERP systems, optimising hierarchies and structures. Design and deliver A/B testing frameworks. Build scalable dashboards and reporting tools (Power BI preferred). Partner cross-functionally to support commercial growth. 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 data. Strong background in price elasticity modelling and applying machine learning to demand. Expert "brick-and-mortar" 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 data sets. Excellent communicator who can translate technical insights into business recommendations. Highly organised, commercially astute, and able to thrive in a fast-paced environment. Degree in a quantitative field (Statistics, Maths, Economics, Physics) is advantageous. If you’re a data-driven pricing analyst with retail experience and a passion for turning insights into impact, we’d love to hear from you.

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