Analytics Manager

Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Analytics Manager: Lead Data Science, Hybrid

Data Science and Analytics Manager

Senior Data Science and Analytics Manager - Trips

Senior Data Science and Analytics Manager - Trips

Senior Analytics & Data Science Leader — UK (Hybrid)

Senior Data Science & Analytics Leader

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

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.