Trainee Data Analyst (Career Accelerator with Employment Guarantee)

Nuyew Tech Academy
Brighton
2 weeks ago
Applications closed

Related Jobs

View all jobs

Trainee Data Analyst Programme (Hiring Immediately)

Graduate Trainee - Data Analyst

Data Analyst Trainee - Accredited Online Training with Placement Support (Hiring Immediately)

Data Analyst Trainee (Hiring Immediately)

Data Analyst Trainee (Hiring Immediately)

Data Analyst Trainee (Hiring Immediately)

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 Accelerator 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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 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.