Harnham

Lead Analyst - Pricing and Promotions

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Analyst - Pricing and Promotions, offering up to £50,000 on a 1-year contract. Location is hybrid (2 days/week in Central London). Requires 5+ years in analytics, strong SQL, Power BI skills, and retail experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
227
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🗓️ - Date
July 31, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #Python #Data Visualisation #Microsoft Power BI #Strategy #Data Science #BI (Business Intelligence) #Forecasting
Role description
Lead Analyst - Pricing & Promotions Up to £50,000 + Benefits Hybrid - 2 days per week, Central London We're working with a well-established consumer-facing business that is investing heavily in data and analytics to drive smarter commercial decision-making. As part of this investment, they're expanding a newly formed analytics function focused on pricing, promotions, product strategy and trading performance. This is an excellent opportunity for an experienced analyst to work on commercially critical projects, applying advanced analytics to influence pricing, promotional and trading decisions across the business. The Role • Develop analytical models to support pricing, promotions and commercial trading decisions. • Apply forecasting, optimisation, elasticity analysis and predictive modelling techniques. • Translate customer, product and trading data into actionable commercial recommendations. • Present insights to stakeholders, helping drive data-led decision making. • Deliver deep-dive analysis into pricing, promotional and trading performance. • Support and mentor junior analysts while contributing to the development of the wider analytics function. What We're Looking For • 5+ years' experience in Analytics, Commercial Analytics or Data Science. • Strong SQL and Power BI (or a similar data visualisation tool). • Python experience is advantageous. • Experience within retail, consumer, e-commerce or another high-volume commercial environment. • Strong background in pricing, promotions or commercial analytics. • Experience with forecasting, optimisation, elasticity modelling or other commercial modelling techniques. • Previous mentoring or coaching experience is desirable. What's on Offer • Up to £50,000 + benefits. • Hybrid working (2 days per week in Central London). • 1-year fixed-term contract with strong potential to become permanent. • Opportunity to join a growing analytics function and work on high-impact commercial projects with excellent exposure to senior stakeholders. Find out more and apply via the link below!