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

Nominate & Attend

Graduate Data Analyst - Manchester

Workable
Cheshire East
3 months ago
Create job alert

Job Position: Graduate Data Analyst (Engineer/Scientist) – via the Graduate Development Programme 

Locations: We are able to consider candidates inManchester,Macclesfield and Warrington

Starting Salary: £25,000   

Application Requirements:  

  • Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject. 
  • Experience in analysing data. 
  • Right to work in the UK unsponsored for the duration of the programme. 
  • Ability to work on site up to 5 days a week. 

Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants.  

Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we’re looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you’ll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change.  Join us and be part of a community that cares, collaborates, and thrives together.

 

Understanding the types of roles available to a Data Analyst:

Data Analyst:
Kick-start your career as a Data Analyst, where you’ll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You’ll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment.

Data Engineer:
Launch your career as a Data Engineer, where you’ll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You’ll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights.

Data Scientist:
Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems.

Why Grayce?

We specialise in driving change and transformation for some of the world’s most ambitious organisations and for over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond.

Our accelerated development programme is designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles.

 

Opportunity:You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations.

Delivery:Typically will work for one client, delivering high quality outcomes during your Grayce tenure.  The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving.

Mentoring: Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They’ll be your go-to, offering support, insights and sharing experiences.

Progression: Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme.

 

What makes a great Grayce Analyst?

2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. 

Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. 

Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application. 

Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process. 

 

Why work for us? 

Competitive Salary: Starting at£25,000with potential for significant growth 

Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career 

Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce 

Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing.

Related Jobs

View all jobs

Graduate Data Analyst

Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics

Graduate Data Analyst

Graduate Data Analyst

Graduate Data Analyst

Graduate 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 Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

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

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.