Analytics Manager

A well-established organisation in the consumer services industry is seeking a Commercial Insights & Analytics Manager to join its expanding business intelligence function. This role will support a strategic contract by enhancing data-led decision-making across key business areas, including pricing, product performance, customer satisfaction, and operational efficiency.

The Commercial Insights & Analytics Manager will be responsible for translating complex data into actionable insights, working closely with commercial, finance, marketing, and operations teams to drive business performance. The ideal candidate will possess strong analytical skills, commercial acumen, and hands-on experience with Power BI and SQL, preferably within retail, hospitality, or Q-commerce.

• Developing data-driven recommendations to optimise pricing, promotions, product range, financial performance, and operational efficiencies.
• Building and implementing pricing models, leveraging benchmarking and value-led methodologies across multiple sales channels.
• Overseeing research projects, including third-party surveys, to assess consumer sentiment and operational performance.
• Analysing data to refine product assortment, promotional strategies, and revenue-generating opportunities.
• Identifying and implementing strategies to improve product availability, reduce waste, and enhance workforce optimisation.
• Evaluating survey data and in-store insights to drive enhancements in customer experience and service delivery.
• Providing data-backed support for client reviews, collaborating with key stakeholders across commercial, finance, and operational teams.
• Developing and maintaining key performance indicators (KPIs) to monitor product, channel, and location performance.

The role involves collaboration with:

• Internal teams - Commercial, Finance, Marketing, and Operations.
• External stakeholders - Clients and business partners.
• Business intelligence professionals - Specialising in pricing, data science, and optimisation.

The successful candidate will have:

• A Bachelor's degree in a relevant field (e.g. Business, Analytics, Data Science, Economics).
• Strong commercial awareness and experience within retail, hospitality, or Q-commerce.
• Proficiency in Power BI and SQL for data analysis and reporting.
• Experience in developing pricing models and working with large datasets.
• Strong stakeholder management and communication skills, with the ability to translate data insights into strategic business actions.
• Advanced Microsoft Excel skills.
• Experience with Python or APIs for data extraction (desirable but not essential).
• A collaborative mindset, with the ability to work cross-functionally to drive strategic decisions through data.

This role offers an exciting opportunity to play a key part in shaping a data-driven strategy within a dynamic and evolving industry. The organisation is committed to investing in cutting-edge analytics and data solutions, providing a collaborative envir