Undergraduate (Year In Industry) Project Analyst Placement 2026 in Birmingham

Undergraduate (Year In Industry) Project Analyst Placement 2026 in Birmingham

Birmingham Placement 25608 - 25608 £ / year (est.) On-site
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At a Glance

  • Tasks: Join a dynamic team to tackle real-world projects and deliver smart data solutions.
  • Company: Quick Release, a supportive and innovative company with a people-focused culture.
  • Benefits: Earn £25,608, enjoy 24 days leave, and access health and well-being perks.
  • Other info: Diverse team environment with extensive training and career growth opportunities.
  • Why this job: Gain hands-on experience and make a meaningful impact while developing your skills.
  • Qualifications: On track for a first-class or high 2.1 degree; strong communication and project management skills.

The predicted salary is between 25608 - 25608 £ per year.

For over ten years, Quick Release has provided 12-15 month placements to over 60 undergraduates and we are incredibly proud of the experience we are able to offer. Our placements get the same experience as every other team member – with extensive training and development and exposure to critical projects with some amazing clients and products. It is the perfect preparation for any professional career, giving you experience that will be valued by any employer (especially us!). We also offer a £25,608 salary for our placement students, and the same flexible rewards and benefits as the rest of the team (24 days annual leave, pension plan, health and well-being fund, clubs, discounts, etc.).

If you are excelling in your studies and you are ready to get stuck into a meaningful and challenging project as a valued member of a strong and supportive team, then we would love to hear from you.

Why be an Analyst at QR?

  • Join the core of the Quick Release business, delivering smart solutions to data-driven problems.
  • Have the opportunity to become an expert in particular fields, sharing knowledge and training others.
  • Building long-term relationships with clients and making a meaningful impact on projects.

What You’ll Do

  • Complete first-class induction training, then continue your learning through working with industry-leading talent on real, client-facing projects.
  • Work alongside client teams (on location) to understand their challenges, then use your expertise to find and deliver technical solutions to help them get new products to market faster, more efficiently and more sustainably.
  • Develop technical product data management expertise and systematically address and improve the way these clients manage their product data – solving problems and shaping solutions to deliver the right outcomes.
  • Experience a range of projects, businesses, sectors, and workplaces, getting to know and understand how our clients operate.
  • Develop strong trusting relationships with clients and teammates.
  • Support deployments and development of our technical/software tools and solutions.
  • Support a wide range of QR internal business improvement projects and initiatives (e.g. team building, events, CSR, diversity, pride, mental health, innovation labs, sports and music).

Some projects will be challenging, but they will always be rewarding, and you will be surrounded by a team of talented people who will support you all the way!

To make things easier for you, the application form allows you to specify which location(s) you want to apply to, so you only need to apply once. Please note that you will be expected to work from your assigned client site/regional office up to five days per week.

Requirements

  • On track for a first-class or high 2.1 bachelor’s degree or master’s degree in any discipline (it doesn’t need to be STEM).
  • Emerging people and project management skills and the drive to take on responsibility – determination to be the best and genuinely make things better.
  • Strong communication skills, accompanied by self-awareness and emotional intelligence. You enjoy helping people.
  • The ability to make sense of complexity and present compelling data-driven stories and solutions that resonate with stakeholders.

Benefits

  • A salary of £25,608 per annum.
  • 24 days annual leave.
  • A highly motivated, diverse, talented and supportive team with a positive, people-focused company culture.
  • Extensive induction training and ongoing learning and development.
  • Projects with a variety of clients, locations and workplaces, all with real-world impact.
  • The same benefits as the rest of the team including a pension plan, health and well-being fund, clubs, discounts, etc.
  • The knowledge, skills and experience to ensure you will always be in demand, wherever your career may take you.

QR Values

As an equal opportunities employer, Quick Release will never discriminate on the basis of gender, race, religion, ethnicity, sexual orientation, age, socio-economic background, marital status, or disability status. Quick Release (Automotive) Limited is an Armed Forces friendly employer. We welcome applications from reservists, former or existing Armed Forces personnel who are interested in a career in Product Data Management.

If at any point throughout the recruitment process you require any reasonable adjustments to be made, please do let us know and we will be happy to help.

AI and your application

We are aware that many candidates these days are using AI language models to help them with their job applications. Whilst we understand the use of this kind of technology to assist with applications, it is worth noting that answers copied directly from AI tend to come across very generic and detract from the quality of applications. To give yourself the best chance of letting yourself shine in your application, we strongly recommend personalising your answers based on your own skills and experience.

Undergraduate (Year In Industry) Project Analyst Placement 2026 in Birmingham employer: Quick Release_

Quick Release in Bristol is an exceptional employer, offering a dynamic work culture that values innovation and collaboration. With competitive salaries, a generous bonus scheme, and ample opportunities for professional growth, employees are empowered to thrive in their careers while working on impactful projects in the mobility and tech hardware sectors. The hybrid work model further enhances work-life balance, making it an attractive place for seasoned consultants to make a meaningful impact.

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Contact Details:

Quick Release_ Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Undergraduate (Year In Industry) Project Analyst Placement 2026 in Birmingham

✨Get Involved in Data Communities

Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!

✨Leverage University Career Services

Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at Quick Release_.

✨Show Off Your Projects

Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like Quick Release_ a taste of what you can do! Plus, it’s a great conversation starter in interviews.

✨Connect with Professionals on LinkedIn

Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like Quick Release_.

We think you need these skills to ace Undergraduate (Year In Industry) Project Analyst Placement 2026 in Birmingham

Project Management
Communication Skills
Data Analysis
Technical Product Data Management
Problem-Solving Skills
Relationship Building
Self-Awareness

Some tips for your application 🫡

Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!

Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!

Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!

Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!

How to prepare for a job interview at Quick Release_

✨Master Your Data Tools

For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.

✨Showcase Your Projects

Bring along a portfolio of your data projects, especially if they're relevant to Quick Release_. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.

✨Prepare for Case Studies

Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.

✨Express Your Enthusiasm

Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join Quick Release_ specifically. Let your motivation shine through!