National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Trainee Data Analyst (Career Pathway with Employment Guarantee)

Nuyew Tech Academy
Brighton
7 months ago
Applications closed

Related Jobs

View all jobs

Legal Onboarding Specialist

Data Analyst Apprentice

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Data Analyst Placement Programme

Data Analyst Placement Programme

Job Description

<span style="font-family:"Arial", sans-serif; color:black; background:white">Are you passionate about uncovering insights from data and driving informed decision-making? Are you looking for a structured training program that can kickstart your career in data analysis?


<span style="font-family:"Arial", sans-serif; color:black; background:white">At Nuyew Tech Academy, we specialise in providing aspiring tech professionals like you with the tools, training, and support needed to launch successful careers in this vital industry.

<span style="font-family:"Arial", sans-serif; color:black; background:white">Whether you're starting from scratch or looking to advance your existing skills, our academy offers a comprehensive program designed to cultivate your talent and propel you towards exciting opportunities in data analysis.

<span style="font-family:"Arial", sans-serif; color:black; background:white">What the Data Analysis Career Pathway at Nuyew Tech Academy includes and what students can expect:

  • <span style="font-family:"Arial", sans-serif">Comprehensive Training:Receive in-depth training in data analysis tools and techniques, including Excel, Databases, Python, Power BI and AI.
  • <span style="font-family:"Arial", sans-serif">Hands-on Experience: Opportunities to gain practical experience through real-world scenarios and virtual labs.
  • <span style="font-family:"Arial", sans-serif">Industry-Recognised Certifications: Preparation for industry-recognised certifications such as CompTIA Data+, Microsoft Power BI Associate and Microsoft Excel Expert to validate skills and enhance employability.
  • <span style="font-family:"Arial", sans-serif">Personalised Support: Dedicated student support team offering guidance, feedback, and support throughout the program to ensure student success.
  • <span style="font-family:"Arial", sans-serif">Career Development: Tailored career guidance, resume building, interview preparation, and job search assistance to help students transition into data analyst roles.
  • <span style="font-family:"Arial", sans-serif">Networking Opportunities: Access to networking events and alumni connections to expand professional networks and explore career opportunities.
  • <span style="font-family:"Arial", sans-serif">Financial Support: Scholarship opportunities and interest free student loans available to make the program accessible and affordable for all aspiring data analyst professionals.



Requirements

• No previous experience or qualifications required

• Strong interest in tech and data analysis

• Ability to work independently and in a team environment

• Detail-oriented and strong attention to accuracy and completeness

• Willingness to learn and continuously improve technical and professional skills





Benefits

·<span style="font:7pt "Times New Roman"">        

<span style="font-family:"Arial", sans-serif; color:black; background:white">Career Advancement: Elevate your professional journey with a tailored training course that's designed to set you on the path towards high-demand tech roles.

·<span style="font:7pt "Times New Roman"">        <span style="font-family:"Arial", sans-serif; color:black; background:white">Competitive Salary Prospects: Upon completing our training and gaining some relevant experience, candidates are poised to secure roles with salaries aligned to what's advertised on the job listing. Invest in your future potential!

·<span style="font:7pt "Times New Roman"">        <span style="font-size:10pt; line-height:107%; font-family:"Arial", sans-serif">Employment Guarantee: If you haven't secured a tech job by course completion, we'll provide additional training and career support until you do. Still not employed after three years? We'll refund your tuition in full, and you keep your certifications. Your future in tech starts with us.

·<span style="font:7pt "Times New Roman"">        <span style="font-family:"Arial", sans-serif; color:black; background:white">Professional Growth: Broaden your horizons and skill set with diverse professional development opportunities throughout and post-training.

·<span style="font:7pt "Times New Roman"">        <span style="font-family:"Arial", sans-serif; color:black; background:white">Dynamic Learning Environment: Experience a vibrant and supportive academy atmosphere where innovation meets education.

·<span style="font:7pt "Times New Roman"">        <span style="font-family:"Arial", sans-serif; color:black; background:white">Affordable Learning: We're committed to making education accessible. The academy career pathway tuition fee of £3995 can be funded by scholarship opportunities and interest free student loans which enable you to spread your tuition fee over 36 months.

<span style="font-family:"Arial", sans-serif; color:black; background:white"> Please Note: While we offer robust training and support to help candidates find employment, it's important to clarify that candidates will not be directly employed by Nuyew Tech Academy. Our commitment is to empower you with the skills and support needed to enhance your job prospects in the broader tech industry.




Requirements
No previous skills or experience required. Just a passion for Technology and IT and a desire to work hard and succeed.

National AI Awards 2025

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 to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.