Data Analyst

Tarka Talent
Newcastle upon Tyne
11 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

50-60k

Hybrid Work


We are partnered with a high-growth SaaS organisation in the Energy sector who are growing their in-house data analyst team.


They are seeking a business-orientedData Analystto join theTransformation Management Office.This role is focused on using data to drive informed business decisions and support key transformation initiatives, including a major integration programme.


This is a great opportunity for someone who enjoys using data to solve real business problems and wants to play a meaningful role in organisational change.


Key Responsibilities:

  • Analyse and interpret data to support strategic decision-making and process improvement
  • Deliver insights related to a large-scale business integration project
  • Work closely with stakeholders across various business units
  • Develop and present clear, actionable reports using Power BI or Python
  • Contribute to the success of the Shared Services transformation workstream


Requirements:

  • Proficiency inPythonorPower BI
  • Strong analytical and problem-solving skills
  • Ability to communicate complex information in a business-friendly way
  • Experience working in transformation or change programmes is an advantage





Regretfully, due to a high volume of applicants, we are only able to reply to those who are successful.


Equal Opportunities:


We are committed to promoting equality of opportunity for all employees and job applicants. In line with the Equality Act 2010, we strive to create and maintain a working environment in which everyone is able to make the best use of their skills, free from discrimination or harassment, and in which all decisions are based on merit. No person is subjected to any less favourable treatment on any discriminatory grounds on the basis of age, disability, gender reassignment, marital or civil partner status, pregnancy and maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

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.