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

Nominate & Attend

Data Analyst

HSAD UK
Weybridge
2 weeks ago
Create job alert

Overview of Role


We are looking for a Data Analyst to deliver data driven D2C/digital marketing strategy, goals and KPIs for Home electronics, Home appliances and IT product categories.


The Analyst will have an understanding of market conditions, use all or some of these data sources as required to lead the development of the marketing story to help craft D2C/digital strategy for the company product portfolios. The Analyst will collaborate, exchange ideas, and gather requirements from other teams.


This role requires to work at the office 4 days a week.


Key Responsibilities


  • Manage and update our data processes and automations to ensure they function correctly. Work with strategy, demand generation, merchandising and site experience teams to help architect solutions for reporting, monitoring and testing.
  • Provide regular business performance updates as well as Ad-Hoc marketing activities campaign performance analysis when requested
  • Maintain and enhance data quality, including ongoing data cleansing processes and standardisation processes where needed.
  • Maintain or create data processes documentation as required. Perform list uploads, on an ad-hoc basis, ensuring data quality and compliance before loading.
  • The Analyst will be comfortable utilising (knowing the limitations and uses) various types of in-house data such as; GA 4 data, Customer data (CRM), Sales data (like Magento or equivalent), Digital Data from Martech platforms – DV360, SA360, GA360


Qualification & Experience


Education, Qualifications & Experience


  • B.A (or above) degree level or equivalent qualification or experience.
  • 5+ years of experience in data marketing
  • Degree preferably in any of the following areas: statistics, data science, physics, computer science or social sciences
  • Ideally the Analyst will be experienced in the use of google marketing cloud tools, SQL and statistical software (R, python, BigQuery)
  • Advanced excel skills and Data visualisation in Tableau or Locker Studio (preferred)
  • Strong conceptual, communication (written, verbal, presentation) and collaboration skills
  • Proven ability to plan, develop, and meet deadlines. A willingness to invent and learn and not afraid to put an idea into action, measure its success, and apply learnings to future decisions


Personal Attributes, Behaviours and Competencies:


  • Proactive, organised, efficient, detail oriented.
  • Excellent skills in time management, coordinating and prioritising of projects, problem solving.
  • Ability to balance multiple, competing directions and manage multiple projects successfully.
  • Natural ability to build interpersonal relationships and manage conflict.
  • Experience with, and strong interest in, the analytical side of marketing as it relates to marketing performance, segmentation and overall database health.
  • Proven project management skills with the ability to manage multiple activities and prioritise tasks.
  • Excellent oral and written communication skills; including presenting to senior level staff.

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.