Role: Graduate Operations Analyst Location: Bedford Salary: £35,000 + Benefits Hours: Monday - Friday Kick-start your career by solving real-world engineering problems. If you're a graduate in Engineering, Computer Science, Data Science or a related field and want to apply your skills beyond theory, this is a rare opportunity to step into a role where your ideas directly improve how a business operates
What's in it for you?- Salary up to £35,000
- Hands-on experience with automation and robotic systems
- Apply engineering and analytical thinking to real-world challenges
- High ownership from day one - your ideas will be implemented
- Clear progression as the business scales
What you'll be doing in this graduate operations analyst role!- Analyse end-to-end operational systems to identify inefficiencies and bottlenecks
- Use data to model, test and optimise warehouse and logistics performance
- Improve workflows across automated and robotic picking systems
- Investigate operational issues, identify root causes, and implement scalable solutions
- Build and maintain data models, dashboards, and performance trackers (Excel and beyond)
- Define KPIs and monitor system performance
- Work closely with operational teams to deploy and embed improvements
- Collaborate with external partners to enhance logistics performance
What we're looking for- Degree in Engineering, Computer Science, Data Science, Maths or similar
- Strong analytical and problem-solving mindset
- Interest in systems optimisation, automation, or data-driven decision making
- Confident working with data (Excel essential; any coding is a bonus)
- Curious, proactive, and motivated to improve how things work
- Strong communication skills - able to translate data into action
Why this role? This isn't a traditional graduate role where you're siloed or stuck doing repetitive tasks. You'll be given real problems to solve - from optimising automated systems to improving operational efficiency at scale - with the autonomy to test ideas and see the direct impact of your work. If you enjoy thinking in systems, working with data, and building smarter ways of doing things, this role will give you the platform to do exactly that.