At a Glance
- Tasks: Analyse complex data and support strategic decisions in a dynamic team.
- Company: Leading engineering and technology organisation with a focus on innovation.
- Benefits: Competitive salary, bonus, pension contributions, and hybrid working.
- Other info: Great career development opportunities and exposure to cutting-edge programmes.
- Why this job: Shape the future of technology while solving real-world problems.
- Qualifications: Degree in a relevant field and experience in analytical techniques.
The predicted salary is between 35000 - 40000 £ per year.
Salary: £35,000–£40,000 + Bonus & Excellent Benefits
Location: Stevenage
Hybrid Working: 4 days per week on‑site
Please note: This role requires British citizenship and the ability to obtain security clearance.
Are you a naturally curious problem solver with a passion for analysis, modelling and helping shape future technology? We're supporting a leading engineering and technology organisation as they continue to grow their Operational Analysis capability. This team plays a key role in influencing future product development, using analysis, experimentation and evidence‑based recommendations to support major strategic decisions. This is a fantastic opportunity to work on future‑focused programmes, helping to assess how advanced technologies can be used most effectively in complex operational environments.
The Role
You'll contribute to a wide range of analytical studies, modelling activities and experimentation exercises, helping stakeholders understand how future systems can deliver operational advantage. Working within a multidisciplinary team, you'll combine analytical thinking, technical understanding and stakeholder engagement to solve complex problems and provide clear, evidence‑based recommendations.
- Supporting analytical studies and experimentation activities
- Analysing complex data sets and drawing meaningful conclusions
- Developing and improving modelling and analysis tools
- Producing reports, presentations and recommendations for stakeholders
- Supporting decision‑making through qualitative and quantitative analysis
- Contributing to future capability and technology assessments
- Working closely with engineering, technical and customer‑facing teams
What We’re Looking For
We’re interested in candidates from Operational Analysis, Operational Research, Systems Engineering, Defence Analysis, Modelling & Simulation or similar analytical disciplines. You’ll ideally have:
- A degree in a relevant technical, scientific or analytical discipline
- Experience applying analytical or problem‑solving techniques to complex challenges
- An understanding of statistical analysis, systems thinking or operational research principles
- Strong written and verbal communication skills
- Experience presenting findings and recommendations to stakeholders
- Some coding experience, ideally Python
- The ability to work with ambiguity and tackle open‑ended problems
- A collaborative approach and the ability to work across multidisciplinary teams
Experience within defence, aerospace, government, research or engineering environments would be beneficial but is not essential.
What’s on Offer
- Salary up to £40,000
- Company bonus
- Pension contributions up to 14%
- Paid overtime opportunities
- Up to 15 additional flexi‑leave days
- Enhanced parental leave
- Hybrid working arrangements
- Excellent training and career development opportunities
- Exposure to innovative, future‑focused programmes
If you enjoy solving complex problems, working with data and influencing strategic decisions, we’d love to hear from you.
Operations Analyst in Stevenage employer: Fynity
Join a leading engineering and technology organisation in Stevenage, where your analytical skills will directly influence future product development and strategic decisions. With a strong emphasis on employee growth, you will benefit from excellent training opportunities, hybrid working arrangements, and a supportive work culture that values collaboration and innovation. Enjoy a competitive salary, generous pension contributions, and additional flexi-leave days, making this an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Operations Analyst in Stevenage
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Operations Analyst in Stevenage
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Fynity, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fynity. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Fynity
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fynity!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
