Lead Analyst

\n Lead Analyst - Pricing and promotions - 1 year FTC\n

\n London, Hybrid\n

\n Salary up to £70,000\n

\n If you're passionate about turning complex commercial data into actionable insight, this is an opportunity to take ownership of high-impact analytical projects within a well-established consumer-facing organisation. You'll work closely with senior stakeholders, influence key business decisions, and help shape the future of analytics across pricing, promotions, range optimisation and trading performance.\n

\n The Company\n

\n They are a forward-thinking organisation that places data at the centre of decision making. With a strong focus on commercial performance and customer outcomes, they are investing in their analytics capability to unlock new opportunities for growth. You will join a collaborative environment where insight is valued, innovation is encouraged, and analytical expertise has a direct impact on business strategy.\n

\n The Role\n

\n You will:\n

\n * Lead end-to-end analytical projects from business challenge through to recommendation and implementation * Deliver commercial insights across pricing, promotions, product performance and trading activity * Apply advanced analytical techniques such as forecasting, regression analysis, clustering and elasticity modelling * Partner with stakeholders across multiple business functions to identify opportunities for optimisation and growth * Create impactful dashboards, reports and presentations that support data-driven decision making * Support and mentor analysts, championing best practice in analytics, coding quality and insight delivery * Contribute to the development of analytics strategy and continuous improvement initiatives\n

\n Your Skills & Experience\n

\n You will have:\n

\n * Advanced SQL skills and commercial experience using Python * Strong experience working with complex customer, product, pricing or commercial datasets * Expertise in advanced analytics, including forecasting, statistical modelling and performance measurement * The ability to translate technical findings into clear, commercially focused recommendations * Experience leading analytical projects and managing stakeholders across different business functions * Strong data storytelling, presentation and communication skills * Knowledge of data governance, documentation and quality standards\n

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