At a Glance
- Tasks: Interpret technical specs and produce accurate, data-driven outputs.
- Company: Join a dynamic team focused on precision and problem-solving.
- Benefits: Competitive salary up to £45,000 plus additional perks.
- Other info: Work in Leeds office 2 days a week with great career growth potential.
- Why this job: Perfect for analytical minds wanting to make an impact in a structured environment.
- Qualifications: Strong logical reasoning and attention to detail required.
The predicted salary is between 45000 - 45000 £ per year.
Lorien are working with a client who are looking for a detail-oriented and logically minded System Analyst to work in a highly structured, rule-based environment. This role focuses on interpreting specifications, working with patterns, and producing accurate, data-driven outputs. It’s ideal for someone with a strong analytical or mathematical mindset who enjoys problem-solving and precision.
You’ll be using internal tools and frameworks to build, test, and validate outputs. No software development experience required.
What You’ll Be Doing:
- Interpreting technical specifications and translating them into structured outputs
- Working with templates and rule-based systems to generate data
- Building and configuring solutions using internal software tools
- Running checks to ensure outputs are accurate and consistent
- Producing validation reports and identifying discrepancies
- Refining outputs based on feedback and requirements
- Collaborating with internal teams to review and approve work
What We’re Looking For:
- Strong logical reasoning and problem-solving skills
- High attention to detail and accuracy
- Comfortable working with structured data and processes
- Ability to interpret and follow complex rules or requirements
- Good communication skills
Nice to Have:
- Background in Mathematics, Statistics, or similar
- Experience working with data, reports, or structured systems
- Any exposure to analytical tools or technical environments
Salary is paying up to £45,000 with additional benefits. The role will be based for their Leeds office 2 days per week. You will be required to take a DBS, Credit check and drug screening as part of the onboarding process.
System Analyst in Leeds employer: Lorien
Lorien is an exceptional employer that fosters a collaborative and detail-oriented work culture, perfect for those who thrive in structured environments. With a focus on employee growth, we offer comprehensive training and development opportunities, ensuring that our System Analysts can enhance their analytical skills while contributing to meaningful projects. Located in Leeds, our office provides a vibrant atmosphere with additional benefits, making it an attractive place for individuals seeking rewarding careers in data-driven roles.
StudySmarter Expert Advice🤫
We think this is how you could land System Analyst in Leeds
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lorien!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like System Analyst at Lorien.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lorien.
✨Apply Directly through Our Website
When you find a suitable opening like System Analyst at Lorien, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace System Analyst in Leeds
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 Lorien, 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 Lorien. 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 Lorien
✨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 Lorien!
✨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.
