Head of Commercial Analytics

Recruitment Solutions (North West) Ltd
M171Dd, M17 1DD, United Kingdom
Last month
£75,000 – £80,000 pa

Salary

£75,000 – £80,000 pa

Job Type
Permanent
Work Pattern
Flexible
Work Location
Hybrid
Seniority
Director
Education
Degree
Posted
29 Apr 2026 (Last month)

Benefits

Annual Performance Related Bonus Pension 21 days Holiday rising to 25 days Flexible start and finish times Work from Home Days Gym Membership Retail Discounts

Recruitment Solutions is pleased to be partnering with our Client a FMCG Group of Companies and whom have been established for over 50 years to appoint aHead of Commercial Analytics

Our Client has its Head Office in Manchester and has plans to establish trading in Europe. Due to internal changes, they are looking to appoint aHead of Commercial Analytics – who will report to the CEO and who will operate as part of the Senior Leadership Team.

YOUR ROLE AS HEAD OF COMMERCIAL ANALYTICS

The role of the Head of Commercial Analytics will be to lead the delivery of Commercial Reporting, Analysis, and Insight to support the CEO and Business in making key decisions. Your role will help shape how performance is measured, understood, and improved across trading – Online and via Retail Outlets.

The role will require strong commercial judgement, analytical capability, and the ability to turn data to recommendations across Sales / Margin and Overall Business Performance.

  • Lead Commercial Reporting and Analysis
  • Work in support of the Commercial Director
  • Performance Improvement
  • Develop and lead Commercial Reporting and insight agenda across Online and Retail Outlets
  • Analysis of Sales / Margins and Customer Behaviours alongside Channel Performance and Promotional Activity – Risk and Opportunities management
  • Work with IT to support the design / development and automation of Dashboards and Business Units
  • Prepare Analysis of New Retail Outlet Locations / wider Estate opportunities

EXPERIENCE AND SKILLS NEEDED

  • Proven experience across Commercial Analytics / Insight and Business Analysis – ideally across Retail / Ecommerce or Multi Site Consumer Business
  • Strong Commercial Acumen and be able to translate this into actions
  • Advanced Excel and Datasets
  • Experience of BI / Power BI etc
  • Experience of improving Reporting / Dashboards and Analytical processes
  • A knowledge of Finance would be an advantage but is not essential

WHAT YOU CAN EXPECT AS THE HEAD OF COMMERCIAL ANALYTICS

  • Annual Salary of c £75,000 – £80,000
  • Annual Performance Related Bonus – based on personal and business performance
  • Pension – which can be enhanced
  • 21 days Hols – rising to 25 days – PLUS BANK HOLS
  • Flexible start and finish times
  • Work from Home Days
  • A range of lifestyle benefits to include; Gym Membership and Retail Discounts

Related Jobs

View all jobs

Microsoft Data and Analytics Practice Lead

Experis London, City And County Of the City Of London, United Kingdom
£500 – £600 pd Remote Clearance Required

Head of Analytics (FS)

Harnham - Data and Analytics Recruitment London, United Kingdom
£90,000 – £150,000 pa Permanent

Head of Analytics - Financial Services

Harnham - Data and Analytics Recruitment London, United Kingdom
£100,000 – £160,000 pa On-site

Head of Data Science

Harnham - Data and Analytics Recruitment Leicester, LE1 5YA, United Kingdom
£11,000 – £130,000 pa On-site

Group Head of Insights

BettingJobs London, United Kingdom
On-site

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.