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

Nominate & Attend

Senior Analytics Manager

Preston on the Hill
3 weeks ago
Create job alert

Senior Analytics Manager

Are you a hands-on analytics leader who can bridge the gap between data science, operations, and commercial strategy?

A major player in distribution is looking for a technically strong Analytics Manager to take ownership of a critical analytics function. You'll be stepping into the shoes of a long-standing knowledge lead, so this role requires someone who can hit the ground running - technically, commercially, and operationally.

You'll lead the charge in shaping how data is used across the business, with the freedom to introduce more advanced analytics, support predictive modelling ambitions, and act as a trusted business partner across supply chain, retail operations, and finance.

What you'll be doing:

Acting as the go-to analytical expert across the business, replacing a long-tenured internal knowledge owner.

Leading and delivering insight from large datasets - manipulating, modelling, and interpreting using tools like Python, SQL, and Excel.

Working side-by-side with colleagues in operations, supply chain, merchandising, and finance to support better, faster decisions.

Helping shape the long-term analytics strategy, including future moves into predictive modelling and data science.

Playing a key role in modernising how the business leverages analytics - hands-on and collaborative from day one.

What we're looking for:

Strong experience in data analysis, modelling, or analytics leadership within a multi-site retail, distribution, or operational environment.

Hands-on technical ability in Python, SQL, Excel - with a mindset for both solution-building and strategic improvement.

A background that spans both data infrastructure and business-facing analytics - someone who can build, model, interpret, and influence.

Experience working in businesses with complex, multi-site operations (e.g., supply chain, warehousing, product/merchandising).

What's on offer:

£85,000-£90,000 basic salary

Car allowance

10% bonus (based on personal performance)

Hybrid working (2-3 days on site per week)

Influence, autonomy, and a big gap to fill - you won't be boxed in

This is a rare opportunity for an analytically-minded leader to step into a business-critical role with real visibility and the chance to shape the future of analytics in a scaled, physical-product environment

Related Jobs

View all jobs

Data Analytics Manager

Data Analytics Manager

Senior Data Scientist - Insurance

Senior Data Engineers

Sales Manager (Data/Analytics/SaaS)

Senior Quant Algo Developer

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.