Junior Customer Data Analyst

Stratford-upon-Avon
3 months ago
Applications closed

Related Jobs

View all jobs

Customer Campaign Data Analyst - B2C

Managing Consultant, Customer Data Analytics / Data Science

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Customer Data Administrator - All Levels of experience considered

£195.00 Per Day - Inside IR35 via Umbrella
Location: Stratford upon Avon, Warwickshire - Candidates must reside within commuting distance and have a UK drivers licence/own transport
3/4 month contract, full-time hours - Potential long term opportunity for right candidate
Skills: Attention to Detail, Adaptable, Customer Orientated, Team Player, ProactiveOur leading financial services client in Warwickshire are expanding their Customer Data team, and this is an exciting opportunity for someone to join a friendly and forward-thinking team that plays a key role in maintaining the quality of customer data.

These opportunities could suit a school or university leaver, or someone returning to work after a break, or simply someone in between roles who's looking to gain valuable experience with a leading financial services business before taking their next career step.

You will be required to identify and resolve customer data issues using the client's core systems, and follow agreed standards, targets, and SLA's, therefor these roles would be ideal for someone with a keen eye for detail, who is adaptable and takes a proactive approach to their work. The role involves supporting some project-based work and requires being on-site 3 days per week.

We require applicants to to be adaptable to the ever-changing needs of the role, whilst maintaining a proactive and customer orientated approach.

The initial contract is for 3-4 months with the potential for an extension or to move into a permanent role.

These roles can suit candidates with varied levels of experience and from any background.

Candidates are required to pass an online test before being invited to interview to assess your ability to do the role.

This is an exciting opportunity for someone looking to gain more experience in a data focused role or if you are looking to pursue a different type of role than what you are usually accustomed to.

If your are interested in being considered, please submit your application ASAP to Jackie Dean at TXP for consideration.

TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce

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.

Careers

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.

Jobs

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.

Careers Jobs

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.

🍪 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.