Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Insights and Commercial Data Analyst

Brierfield
1 week ago
Create job alert

Insight & Commercial Data Analyst

Location: Blackburn (on site)
Salary: £50,000-£70,000 plus Benefits.

Axon Moore is proud to be working with a fast-growing private equity backed business in the FMCG sector. This company is making waves in the market and offers a brilliant opportunity for someone who loves data, insight and commercial problem solving.

The role sits within a high-performing team and would suit someone who enjoys taking ownership, working with pace and helping shape decisions through meaningful data. You’ll be working across a broad range of commercial areas including marketing, digital performance and retail.

Responsibilities:

Deliver commercial insights that help guide pricing, category planning and promotional activity
Partner with digital and eCommerce teams to understand performance drivers and identify growth opportunities
Develop automated dashboards and reports that give the business quick access to key data
Monitor brand and consumer performance to highlight opportunities and risks
Manage relationships with external data providers including Circana, Profitero and Brandbank
Carry out research projects to identify new product or market opportunities
Present clear insights that influence key decisions across marketing, product and commercial teams

Ideal Candidate:

Two to three years’ experience in a data or insights role, ideally within FMCG or consumer goods
Strong analytical ability with a talent for turning numbers into stories that drive action
Confident using Power BI and Excel for analysis and reporting
Experience working with Nielsen, Kantar or Circana data
A genuine interest in active lifestyle trends
Excellent communication skills and the confidence to work with people at all levels
Commercially minded, proactive and happy to work at pace

What success looks like:

You’ll know you’re making an impact when your reports and insights become central to commercial decisions. You’ll build great relationships across teams and see your recommendations translate into real results. Over time, you’ll become a trusted voice in the business and a key part of its continued growth.

This is a fantastic chance to join an ambitious business where data and insight are at the heart of every decision. If you’re passionate about Brands/Products in a highly sought after sector, and love the idea of using analytics to shape business strategy, this role will give you the scope and visibility to really make a difference.

What’s on offer:

Product discounts and wellbeing perks
Cycle to Work scheme
Birthday day off
Pension with 4% employer contribution
Access to an on-site gym
A collaborative, energetic workplace that values initiative and ambition

To find out more or apply, please contact Axon Moore in confidence. We’re shortlisting now and would love to speak with candidates who are excited by this opportunity.

IND1

Related Jobs

View all jobs

Used Car Sales Support Data Analyst

Data Analyst

Data Analyst

Performance Data Analyst

Commercial Data Analyst

Data Analyst

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.