Junior Data Analyst

Vodafone
Newbury
8 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst - Power BI / SQL

Data Analyst / Junior Data Scientist

Graduate Data Analyst

Trainee Data Analyst Excel, SQL & Power BI)

Join Us

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

What you’ll do


The MLOps Junior Data Analyst utilises data insight and visualisation to enable data driven decision making, while contributing to the design, development, optimisation and ongoing management of Vodafone’s Automation and AI Use Cases. 

Data collection, preparation, conversion, and optimisation for AI and ML use cases, of new and existing data sources. Translating complex datasets into key strategic insight enabling powerful data driven capabilities, to the business. Assist in the End-to-end design, development and implementation of data pipelines to enable AI and Machine Learning, enhancements, and algorithms, and select appropriate KPIs to identify high-performance models. Support the delivery of software solutions as part of an Agile team. Support use case business requirements gathering and establish metrics to measure benefit and success criteria  Identify new analytics trends and opportunities to drive the innovation agenda across countries. Identify new data sources and evaluate emerging technologies for data discovery usage. Assists with investigations in case of incidents, establish root cause analysis to ensure/propose solutions to fix the identified issues.  Contributes to the evaluation of new technologies or applications to adopt them within the organization (POC – proof of concept).

Who you are


Core skills:

Proven experience with field specific data structures (lists, dictionaries, dataframes, series, etc). Proven SQL experience 1-2 years Datawarehouse and visualisation experience: Teradata, Tableau/PowerBI Strong creativity, problem-solving skills, and proven experience with data visualisation to enable data driven decision making. Proven experience with data visualisation, predictive analytics and forecasting using Python, including but not limited to, libraries: NumPy, Pandas, Matplotlib, Seaborn, Sci-Kit Learn

Nice to have technical qualifications:

Agile Practitioner, Scrum, Safe knowledge, or certification preferred. First-hand experience utilising Large Language Models and Natural Language Processing in Python. International experience desirable (working internationally and / or working with global solutions) Data Engineering and Data Analytics on Cloud platforms GCP and/or AWS and/or Azure

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

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.

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.

🍪 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.