Trainee Data Analyst/Support – Training Course

Netcom Training
Sheffield
2 months ago
Applications closed

Related Jobs

View all jobs

Trainee Data Analyst Excel, SQL & Power BI)

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

About the opportunity
Are you ready to launch a career in Data Analytics and Business Intelligence?
Netcom Training’s fully-funded Data course (NCFE Certificate in Data, Level 3) equips you with the technical skills employers are actively seeking. From data sourcing, cleansing, and analysis to visualization and reporting, you’ll gain hands-on experience that prepares you for today’s fast-growing data-driven roles.
Our learners have successfully moved into roles such as Junior Data Analyst, Operations Analyst, Business Intelligence Assistant, and Database Administrator, working across tech, finance, healthcare, and the public sector.
Complete the course and gain a guaranteed interview with a leading employer, helping you kickstart your career.
Course Details

  • Start Date: 23/02
  • Duration: 11 weeks
  • Days: Monday – Thursday
  • Times: 6:00 PM – 9:00 PM
  • Format: Online, practical workshops
    What you’ll learn
  • Data Management: Understand how to source, gather, and store data securely.
  • Data Cleansing: Learn to collate and format raw data for accurate processing.
  • Analysis & Insight: Analyse datasets to support key business decisions and outcomes.
  • Visualization: Present and communicate insights clearly to stakeholders.
  • Tools & Tech: Gain exposure to professional tools commonly used in the industry (e.g., Excel concepts, Reporting tools).
  • Compliance: Understand secure data handling and GDPR principles.
  • Collaboration: Practice continuous professional development in a team setting.
    Career Pathway
    Successful participants are guaranteed an interview with our network of UK-wide partners working with leading brands.
    Potential Roles:
  • Junior Data Analyst
  • Reporting Assistant
  • Data Administrator
  • Business Analyst
    Eligibility
    This is a government-funded opportunity. To apply, you must:
  • Live in South Yorkshire.
  • Be aged 19 or over.
  • Earn below the gross annual wage cap of £34,194.
  • Not currently be undertaking other government-funded training.
  • Right to Work: You must have lived in the UK/EU for the last 3 years and have the right to work in the UK (Student/Graduate visas are not eligible).
    Cost
    This is a fully-funded course with no fees – complete the training, gain essential data skills, and secure your guaranteed interview

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.