Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Trainee Data Analyst (Career Pathway with Employment Guarantee)

Nuyew Tech Academy
Bristol
11 months ago
Applications closed

Related Jobs

View all jobs

Trainee Data Analyst Power Bi

Trainee Data Analyst Graduate Scheme

Trainee Data Analyst Power Bi

Graduate/Trainee Data Analyst

Graduate/Trainee Data Analyst

Graduate/Trainee Data Analyst

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.

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.