Data Analyst

Intellect Group
Stevenage
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst – 4-Day Working Week | £35,000 | Hybrid – Hertfordshire


Are you a data-driven problem solver who’s passionate about turning numbers into action? Do you thrive in environments where your analysis can directly influence continuous improvement? If so, we have a rare and rewarding opportunity for aData Analystto join a respected organisation in the dispute resolution and consumer protection sector.


This is a permanent role, offered on a32-hour, 4-day working week, with a salary of up to£35,000(equivalent to ~£38k–£40k pro rata on a full-time basis). You’ll also enjoy a supportive, mission-led culture and flexible hybrid working (3 days/week on-site in Stevenage).


🔍The Role


You’ll be the data expert in the room—owning dashboards, shaping strategy through insights, and collaborating across departments to ensure data is used to its full potential. This isn’t a role for someone who needs their hand held; we’re looking for someone who brings ideas, solves problems before they arise, and has the confidence to challenge the status quo.


🧠What You’ll Be Doing


  • Designing and managingdashboards and scorecardswith minimal input
  • Building intuitivereal-time drill-down reportsusingPower BI(orAmazon Quicksight)
  • Writing advancedSQL queriesto extract and manipulate data from internal systems
  • Working with stakeholders to improveCRM/CMS workflowsand business processes
  • Configuring systems, understandingdata interdependencies, and managing change impacts
  • Proactively identifying what the businessshouldbe tracking — and implementing it


🧩What We’re Looking For


  • A self-starting analyst wholives and breathes data
  • Proven experience withPower BI,SQL, and CRM/CMS workflows
  • A sharp communicator with confidence and credibility across teams
  • A natural business analyst who can improve processes as well as surface insights
  • Someone who enjoysteaching others about their dataand isn’t afraid to challenge assumptions


💼 What’s In It For You?


  • £35,000 salary (based on 32 hours/week)
  • True4-day work week(Fridays off!)
  • Flexible hybrid working model
  • Work with a values-led organisation that makes a positive impact on consumers
  • Ownership of the data function, with the freedom to innovate and influence


This role is being managed exclusively byIntellect Group, on behalf of a well-established ombudsman organisation committed to fairness, transparency, and innovation in dispute resolution.


If you're ready to shape the data strategy in a forward-thinking environment, we’d love to hear from you.


Apply now or contact Intellect Group for a confidential chat.

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 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.

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.