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

Apply Now

Commercial Data Analyst

Harnham
Merton
5 months ago
Applications closed

Related Jobs

View all jobs

COMMERCIAL DATA ANALYST

COMMERCIAL DATA ANALYST

COMMERCIAL DATA ANALYST

Commercial Data Analyst/Scientist

Commercial IT Data Analyst

Insights and Commercial Data Analyst

📊 Commercial Data Analyst
💰 Up to £80,000
📍 Hybrid - 4 days/week in South West London (5 days during first 3 months)

A digitally-led retail brand within a well-established retail group is hiring aCommercial Data Analystto help drive smarter, faster decisions across the business. With a balanced mix of e-commerce and brick-and-mortar, the business is profitable and growing-with ambitious digital growth targets for the year ahead.

As thesole embedded data expertin the brand team, you'll work across Digital, Marketing, Buying, Finance, and Exec stakeholders-responding to ad hoc requests, delivering insightful reporting, and most importantly, using data toproactively influence strategy.

Example projects:

  • Spot sales trends (e.g. weather-driven demand spikes) and recommend agile trading or campaign decisions

  • Support new store expansion strategy by analysing customer location, order frequency, and market viability

  • Evaluate marketing ROI using tools like Fospha and GA; lead incrementality testing across paid channels

  • Integrate new data sources (e.g. research, attribution, or behavioural data) to enrich customer understanding

🔍 About you:

  • 3+ years in a data analytics or insight role

  • Strong SQL, experience with BigQuery preferred

  • Exposure to Python for analysis/modelling

  • Skilled in data visualisation (Looker, Tableau, Power BI, etc.)

  • Experience in digital, marketing or customer analytics

  • E-commerce or retail background a plus

  • Naturally curious and proactive-you spot trends and ask questions before others do

Tech Stack:BigQuery (SQL), Python, Looker, Fospha, GA, ContentSquare

Interview Process:

  • Intro chat with Chief Digital Officer

  • In-person data task with senior stakeholders

  • Optional meeting with other senior leaders (Marketing, Finance, COO)

This is a fantastic opportunity for a commercially-minded analyst to step into a role where your insights will directly shape digital growth and brand strategy.

Interested or know someone perfect? Apply now or DM for more details.

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.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.