National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Analytics Manager

Birmingham
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analytics Manager

Data Analytics Manager

Data Science Manager

Marketing Machine Learning Engineer London

Senior Data Scientist - Insurance

Analytics & Data Science Manager | London, UK

About the Company

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.

About the Role

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.

Key Responsibilities

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.

Key Stakeholders

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.

Requirements

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.

Why Join?

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 environment where insights make a real impact.

The position offers:
✅ A competitive salary
✅ Flexible working arrangements
✅ The opportunity to contribute to a data-driven decision-making culture

For more information or to apply, please get in touch

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.