Graduate Data Analyst

Pimlico Enterprises
Birmingham, England
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data & Machine Learning Engineer

Forward Role Warrington, United Kingdom
£55,000 – £65,000 pa Hybrid

Graduate AI Data Scientist

Global Tech Recruitment London, United Kingdom
£42,000 – £45,000 pa Hybrid

Senior Data Scientist

Harnham - Data & Analytics Recruitment Leicester, LE1 5YA, United Kingdom
£65,000 – £80,000 pa On-site

Junior Data Scientist

The Flavour Network Nottingham, United Kingdom

Physicist – Photonics & Optics

Cambridge Consultants United Kingdom

Audio Systems Embedded Software Engineer (DSP/ Machine Learning)

IT Graduate Recruitment London, United Kingdom
£40,000 – £70,000 pa On-site
Posted
27 Jun 2025 (10 months ago)

Job Title:Graduate Data Analyst

Location:Remote (United Kingdom)

Salary:£30,000 – £35,000 per annum


Overview

On behalf of our client, a respected organization in the business consulting and services sector, we are pleased to announce an exciting opportunity for aGraduate Data Analyst. This full-time role is ideal for recent graduates or aspiring professionals seeking to establish a career in data analysis.

The successful candidate will join a dynamic analytics team and work on meaningful, real-world projects, gaining hands-on experience under the guidance of seasoned data analysts and consultants.


Please note:Onboarding will be conducted in person at our client’s London office.

Key Responsibilities

As a Graduate Data Analyst, your role will involve supporting data-driven initiatives for both internal and external stakeholders. Core responsibilities include:

  • Assisting with data gathering, research activities, and preliminary analysis
  • Contributing to the development and maintenance of data pipelines and workflows
  • Creating and updating visual dashboards using Power BI
  • Writing and optimizing SQL queries for data extraction and analysis
  • Presenting findings and insights in an accessible manner for both technical and non-technical audiences
  • Documenting data processes, methodologies, and best practices
  • Participating in team meetings and collaborative problem-solving sessions
  • Continuously enhancing technical skills through real-time project exposure and mentorship


Candidate Profile

We are seeking a motivated and analytical individual who is eager to learn and contribute. The ideal candidate will possess:

  • A degree in Statistics, Mathematics, Computer Science, Economics, Business, or a related field
  • Proficiency in Microsoft Excel for data manipulation and organization
  • Basic understanding of SQL, or a strong interest in developing SQL skills
  • Familiarity with data visualization tools such as Power BI or Tableau (preferred, not required)
  • Excellent attention to detail and a problem-solving mindset
  • Strong communication skills, with the ability to convey insights clearly
  • A positive, proactive attitude and a willingness to learn and grow within the role


What You’ll Gain

This opportunity offers a structured pathway into the field of data analytics, with a range of benefits including:

  • Competitive salary package of £30,000 – £35,000
  • 38-hour work week
  • Remote working arrangement, with optional hybrid access for London-based candidates
  • Performance-based bonuses
  • Reimbursement of professional membership fees
  • 28 days of paid annual leave, in addition to UK public holidays
  • Enhanced pension scheme
  • Paid leave entitlements for UK Armed Forces Reservists
  • Access to a 24/7 Employee Assistance Programme, including GP access, mental health support, and wellness services


Hiring Process

The selection process is designed to be transparent and candidate-focused. It includes the following stages:

  1. Initial Conversation– An informal discussion to explore your interest in the role
  2. HR Interview– A comprehensive review of your background, motivations, and fit within the client’s team culture
  3. Technical Assessment– A practical evaluation of your analytical and data handling capabilities

Candidates are encouraged to ask questions at each stage to ensure mutual alignment.


Diversity & Inclusion Statement

Our client is committed to fostering an inclusive and equitable workplace. Applications are welcomed from candidates of all backgrounds, and reasonable adjustments can be made throughout the recruitment process.

The organization actively promotes:

  • A collaborative and respectful working culture
  • Mental health awareness and employee wellbeing
  • Equal access to development and advancement opportunities


Important Note

Applicantsmust have the legal right to work in the United Kingdom. Unfortunately, our client isunable to sponsor visasfor this role at this time.


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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.