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

Nominate & Attend

Senior Data Analyst

TLP Consultancy Ltd
Epsom
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst, Business Planning & Reporting – Application Deadline 30th May


  • £40,000-£43,500
  • Hybrid working (3 days per week in the office)
  • Permanent
  • ASAP start
  • Near Epsom, Surrey (due to location own transport is beneficial)
  • Generous benefits package (Performance related bonus, Pension, access to their car scheme, Birthday voucher, Cycle Scheme, discounted onsite gym membership, subsidised Café and Canteen, 25 days holiday + all bank holidays)


TLP have been working with Toyota (GB) PLC for over 25 years and are a trusted partner. This role will be employed by TLP (secondment to Toyota (GB) PLC)

Are you a data-driven problem solver who loves turning complex data into clear, actionable insight?


We’re looking for aSenior Data Analystto join theToyota Value Chaindepartment. You will be supporting the operations and development of Value Chain performance through business planning activities, Microsoft BI (Business Intelligence) and VLVR (Vehicle Lifetime Value Reporting) reporting design, modelling, development and analysis.

Working as part of a team you will be responsible for in depth analysis on the performance of Value Chain products, market trends and influencers.


What you’ll be doing:

  • Budgeting support, forecasting, Network targets, programme and performance monitoring.
  • Value Chain Reporting: data analysis activities
  • Performance analysis to identify and make recommendations to TGB management on revenue opportunities for Value Chain products within the Network
  • Specification of VLVR and website development requirements
  • Development of appropriate supporting materials and training for After Sales field teams and the Network in the use of VLVR website and reporting in order to maximise the benefit of the system
  • Microsoft BI Report development
  • Pricing – analysis of price changes and market trends, root cause analysis to identify underperforming products / services
  • Network and Field support with ad hoc reporting and analysis


Essentials:

  • Advance Excel skills
  • High level of numeracy, analytical and statistical skills
  • Good level of commercial awareness
  • Good level of inter-personal and communication skills
  • Strong communicator
  • Critical thinking and a proactive, organised approach


Nice to have:

  • Automotive experience in After Sales


This is a great opportunity to bring your data skills into the automotive space and be part of a fast-evolving team with real business impact.


Ready to drive value with data? Apply now.

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.