At a Glance
- Tasks: Join a dynamic team solving data-driven challenges and delivering impactful solutions.
- Company: Quick Release, a supportive and diverse company focused on innovation.
- Benefits: Starting salary of £33,000, extensive training, and career progression opportunities.
- Other info: Engage in exciting projects with a variety of clients and locations.
- Why this job: Make a real impact while developing your skills in a collaborative environment.
- Qualifications: First-class or high 2:1 degree in any discipline and strong communication skills.
The predicted salary is between 33000 - 33000 £ per year.
This intake isn't just for recent graduates. We genuinely welcome applicants with all levels of experience on the team. So, whether you've just finished university, you're returning to work after time out, or you're looking for a new challenge in a new sector, the ongoing growth of our team means we have opportunities to join QR throughout the year.
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 team-mates.
- 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’ll 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
- A first-class or high 2:1 bachelor’s degree, master's degree or PhD 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 starting salary of £33,000 plus other rewards and benefits.
- 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.
- Career progression based on merit and a choice of pathways.
- Lots of team events, sports clubs, CSR, mental health, diversity and well-being initiatives, and a direct line to management and leadership for your ideas.
- The knowledge, skills and experience to ensure you’ll 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 are 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.
This role may require you to have or be willing to go through National Security Vetting. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview.
Graduate Analyst Intake 2026 in Derby employer: Workable
At Quick Release, we pride ourselves on being an exceptional employer that fosters a supportive and inclusive work culture. With a starting salary of £33,000 and extensive training opportunities, our Graduate Analysts are empowered to develop their skills while working on impactful projects across various sectors. We prioritise employee growth through merit-based career progression and offer a range of initiatives focused on well-being, diversity, and team building, making QR a truly rewarding place to launch your career.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Analyst Intake 2026 in Derby
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Workable when you're aiming for that entry-level role.
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Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Workable.
✨Networking Through University Career Services
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Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Workable’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Analyst Intake 2026 in Derby
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Workable, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Workable aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
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How to prepare for a job interview at Workable
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
