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

Apply Now

Data Analyst Training and Internship

Talent Glider
Nottingham
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Reporting and Data Analyst

Data Analyst

Data analyst

Data Analyst

Talent Glider is a premier staffing company dedicated to connecting top talent with global opportunities. As part of our commitment to nurturing future leaders, we proudly offer internship programs that provide students with valuable exposure to industry standards early in their careers.


Position: Data Analytics Training & Internship Program

Talent Glider is excited to welcome enthusiastic individuals eager to explore the dynamic field of Data Analytics. This internship offers the unique opportunity to work on live projects, gaining hands-on experience with cutting-edge tools and methodologies. If you’re passionate about analytics and ready to make an impact on real-world projects, we’d love to have you on board!


Projects you will work on:

E-commerce Optimization:

  • Setting up conversion tracking for online stores.
  • Analyzing sales funnels and user behavior to improve cart abandonment rates.
  • Implementing dynamic remarketing tags for personalized ad campaigns.


Retail Analytics:

  • Developing dashboards to track in-store vs. online sales performance.
  • Measuring the effectiveness of omnichannel marketing campaigns.
  • Setting up custom events to monitor promotional campaign success.


Travel & Hospitality Insights:

  • Tracking bookings and cancellations through advanced tracking setup.
  • Creating detailed reports on user engagement for travel websites.
  • Analyzing customer journey paths to improve trip-planning experiences.


Content-Driven Websites:

  • Monitoring user engagement metrics such as page views, session duration, and scroll depth.
  • Setting up video tracking to analyze interaction with media content.
  • Building dashboards to visualize content performance and audience demographics.


Who Should Join:

  • Students or professionals eager to kickstart their journey in Data Analytics.
  • Individuals passionate about working with tools and technologies like Google Analytics, Google Tag Manager, Google Data Studio, SQL, Power BI, and Web Analytics.
  • Those who value flexibility and seek a blend of robust training and practical exposure.


How to Apply:

Please submit your application directly through this job post or email us at


Note:

This is an unpaid position. Once you submit your application, our team will reach out to provide further details about the application process and next steps for joining.


Take the first step toward building a thriving career in Data Analytics with Talent Glider!

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.

Jobs

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

🍪 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.