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

Nominate & Attend

Graduate Data Analyst

Impact Team
London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst (SQL/EXCEL) (Amazing Airline!-Heathrow)

Data Analyst

Data Analyst

Data Science Analyst (Graduate 2024/25)

Graduate Finance Data Engineer

Accelerated Data Analyst Training Programme (Hiring Immediately)

Graduate Data Analyst

London Based – 3 days a week in office


The Impact Team, a global leader in innovative technology solutions, is seeking a bright and enthusiastic Graduate Data Analyst to join our growing team. This role offers an excellent opportunity to kickstart your career in data analytics while contributing to impactful digital transformations for our global clients.


Role Overview

As a Graduate Data Analyst at The Impact Team, you will work alongside experienced professionals to analyse complex datasets, derive meaningful insights, and support data-driven decision-making processes. You'll be involved in projects spanning various industries, with a focus on financial services and digital transformation initiatives.


Key Responsibilities

  • Collect, process, and analyse large datasets using advanced analytical tools and techniques
  • Develop and maintain dashboards and reports to visualize key performance indicators
  • Assist in the implementation of data-driven solutions for our clients' business challenges
  • Collaborate with cross-functional teams, including DevOps and cybersecurity specialists
  • Support the integration of data analytics into our automated threat modelling processes
  • Contribute to client presentations and reports, translating complex data into actionable insights
  • Stay updated on the latest trends and technologies in data analytics and machine learning



Required Qualifications

  • Bachelor's degree in STEM, Data Science, Statistics, Computer Science, or a related field
  • Strong analytical and problem-solving skills
  • Proficiency in data analysis tools such as Python, R, or SQL
  • Familiarity with data visualization tools (e.g., Tableau, Power BI)
  • Excellent communication skills, both written and verbal
  • Ability to work effectively in a team environment
  • Enthusiasm for learning and adapting to new technologies



Desired Skills

  • Knowledge of machine learning algorithms and their applications
  • Experience with big data technologies (e.g., Hadoop, Spark)
  • Understanding of financial services industry trends and challenges
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Interest in cybersecurity and its intersection with data analytics
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.

Jobs

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Education

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

Careers

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.