Lead Analyst - #2116203

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.

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.

You will:

* 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

You will have:

* 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