At a Glance
- Tasks: Analyse data to improve IT operations and create insightful reports.
- Company: Markel, a leading company focused on innovation and quality.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on continuous improvement.
- Why this job: Make a real impact by driving efficiency and quality in IT services.
- Qualifications: Strong analytical skills and experience in data reporting.
The predicted salary is between 36450 - 44550 £ per year.
Markel is seeking a Business Systems Analyst to support IT Operations with data analytics, performance insights and improvement initiatives.
This 12-month FTC role focuses on data-driven analytics, ITSM process performance, and driving quality and efficiency across the team.
The role involves creating reports, coordinating global service improvement plans, and delivering monthly scorecards while working closely with stakeholders and deskside operations.
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Service Operations Data Analyst (Hybrid) employer: Markel
Markel is an excellent employer, offering a dynamic work environment in London where innovation and collaboration thrive. Employees benefit from a competitive salary, annual bonuses, and a comprehensive benefits package that includes a fantastic pension scheme and health coverage. With a strong commitment to diversity and employee growth, Markel fosters a culture that encourages professional development and values contributions from all backgrounds.
StudySmarter Expert Advice🤫
We think this is how you could land Service Operations Data Analyst (Hybrid)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Markel before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Markel.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Markel.
We think you need these skills to ace Service Operations Data Analyst (Hybrid)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Markel, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Markel, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Markel’s attention and show the tangible impact of your work.
How to prepare for a job interview at Markel
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Markel.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Markel.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Markel.
