Market Data Analyst Graduate

Amey Ltd
Manchester
2 days ago
Create job alert

We are excited to offer a fantastic opportunity for a Market Data Analyst Graduate in Manchester.

Starting Salary: 30,000.00

Location: Factory Lane Depot, Manchester, M9 8AB

Working hours per week: Monday - Friday 09:00am-17:00pm occasional national travel required. 40hrs/week

Start date : April 2026

Our 2-year Graduate programme at Amey will challenge and inspire you to reach your full potential and build your career with a guaranteed permanent position for you to transition into once you have finished. Throughout your Graduate programme, you will receive first-class mentoring and a structured learning and development programme to enable your professional and personal development. We'll also support and pay towards a relevant professional qualification.

Amey Highways Technology Services (HTS) is a leading provider of electrical, technology-based decarbonisation solutions for transport infrastructure. We support clients across the full asset lifecycle - funding, designing and delivering intelligent, data-driven services that drive sustainability and operational efficiency. Our innovative approach tackles key challenges while helping the planet thrive. Our aim is d delivering technology based sustainable infrastructure solutions, enhancing life, protecting our shared future.

As our team grows, we're looking for a curious and driven Market Data Analyst Graduate to help us lead the charge. This is more than a graduate role-it's an opportunity to help shape how communities connect with cleaner transport solutions.

You will play a key role in turning complex data into clear, actionable insights that inform our marketing strategy, enhance customer engagement, and guide infrastructure planning. Working alongside our marketing and data teams, you'll analyse consumer behaviour, optimise campaigns, and build dashboards that bring insights to life-all while contributing to a smarter, greener future.

What you will do:
Analyse existing data sets from across HTS to undertake trend analysis studies to identify safety, operational and commercial challenges, risk and opportunities for improvement.
Analyse customer usage patterns across EV charging stations and the growing network to identify trends and opportunities.
Support targeting strategies using clustering and predictive modelling.
Evaluate marketing campaign performance using attribution modelling and analysis.
Develop dashboards and visualisations to communicate insights to key stakeholders.
Collaborate with the commercial and communications teams to align marketing efforts with infrastructure deployment.
Work with the SLT and business development manager to support forecasting demand and customer growth.
Contribute to data governance and ensure GDPR-compliant data handling. What you will bring:
Degree in Data Marketing analytics, Data Analysis or related field achieving Minimum 2:2
A Full UK driving License.
Strong Mathematical skills
Strong IT and reporting skills
Basic knowledge of Health & Safety.
Marketing / Communication
Have the enthusiasm to be part of a high performing team and a drive for success. Please note that successful applicants will be required to undergo drug and alcohol testing in line with our commitment to maintaining a safe and compliant working environment

Please ensure you upload your certificates, predicted grades, or achieved qualifications with your application, as we will shortlist based on this information. Any offer of employment is conditional upon meeting the required academic criteria. If you experience any issues uploading documents, please contact our People Services team.

We welcome applications from a diverse range of candidates.

Why join Amey?

At Amey, we work on long-term stable contracts so you can plan a long-term career with us. We have been awarded Platinum status by Investors in People which underscores our commitment to supporting our people across every part of our organisation, enabling them to shine. Whether you are starting your career, returning to the workplace or can bring your professional expertise and skills, there is a place for you here.

Our benefits are designed to help you thrive at work and in your home life. You will have the flexibility to choose benefits and development opportunities that are best for you.
Remuneration - Enjoy a competitive annual salary with the potential for yearly reviews to ensure you're rewarded for your contributions
Career Growth: Throughout your programme, you will receive first-class mentoring and a structured learning and development programme to enable your professional and personal development.
Training Opportunities : Unlock your potential with comprehensive training, including fully funded leadership programs tailored to your personal growth.
Holidays - Enjoy 24 days leave plus bank holidays and the opportunity to buy more
Pension - Generous pension scheme, with extra contributions from Amey
Flexible working - Work-life balance and flexibility are key for our success. We empower our people to make choices that are right for them, with hybrid, part-time and flexible work patterns open for discussion.
Flexible benefits - Customise your benefits with options such as insurance benefits, Cycle2Work scheme and access to discounted gym membership.
Exclusive Discounts - Access our online portal filled with discounts from leading retailers, healthcare services, and more, helping you save on the things that matter.
Give Back to community - Two Social Impact Days each year, for volunteering and fundraising opportunities
Family friendly policies for new parents or if you provide care for a dependant
Membership of our Affinity Networks who connect, support and inspire diverse communities within Amey About Amey

We are a leading provider of full life-cycle engineering, operations, and decarbonisation solutions, for transport infrastructure and complex facilities.

Our purpose is to deliver sustainable infrastructure solutions that enhance life and protect our shared future.

Every day our teams across the UK and internationally do truly important work shaping some of the most complex environments that impact generations to come.

To find out more visit our website (url removed)

Application Guidance and Diversity & Inclusion

At Amey we constantly evolve how we work to reflect the different needs and backgrounds of our employees. We welcome applications from all suitably qualified candidates, regardless of their race, gender, disability, religion/belief, sexual orientation, or age. We believe everyone deserves an opportunity to shine.

As a disability confident leader, we're proud to guarantee applicants with a disability an interview if they meet the minimum requirements for the role.

Please contact our recruitment team at peopleservices@(url removed) to discuss any access needs, reasonable adjustments or additional support that you may require at any point during the recruitment process.

Apply today

We may close this vacancy early if we receive sufficient applications. Please apply as soon as possible

Inspiring Impact Together

#CVL

Related Jobs

View all jobs

Market Data Analyst Graduate

Market Data Analyst Graduate: Insights & Impact

MI & Data Analyst

Online Data Analyst Training: Fast Track to Entry-Level Role

Data Analyst – Payments Consulting

Data Analyst – Payments Consulting

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.