At a Glance
- Tasks: Design and develop Data Loss Prevention policies and document labelling solutions.
- Company: Join a large, established retail organisation with a focus on data protection.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with the chance to influence DLP strategy across the business.
- Why this job: Shape the future of data protection and make a real impact in a new role.
- Qualifications: Strong experience with Microsoft Purview and SharePoint, plus DLP policy design skills.
The predicted salary is between 40500 - 49500 £ per year.
We're looking for a Data Loss Prevention Analyst to join a large, well-established retail organisation in a newly created role, giving you the opportunity to help shape and develop their approach to Data Loss Prevention.
You'll work closely with the wider technology and software engineering teams, using your expertise across Microsoft Purview, SharePoint and the Microsoft stack to design and develop DLP policies and document labeling solutions. The software engineering team will then take these through implementation. This is a great opportunity to join a large organisation and have a genuine impact on how data protection and DLP evolves across the business.
What you’ll be doing:
- Designing and shaping DLP policies across the organisation
- Working with Microsoft Purview and SharePoint
- Designing document labelling and classification solutions
- Cloning and adapting policies where required
- Working closely with software engineering teams to support implementation
- Helping shape the future DLP strategy
What we’re looking for:
- Strong technical experience with Microsoft Purview
- Good knowledge of SharePoint and the wider Microsoft stack
- Experience designing DLP policies and document labelling solutions
- Experience working within a large corporate environment
- Experience working with large data repositories
This is a newly created position, so you’ll have the opportunity to make your mark and play a key role in shaping the organisation’s DLP capabilities. The role is based in Leeds, with 2-3 days per week in the office. For candidates who live further away, 1 day per week may be considered.
Data Loss Prevention Analyst in Leeds employer: Levy Global
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the evolution of cloud technology. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge Azure technologies in a supportive environment. Located in the picturesque Yorkshire area, enjoy a hybrid working model that promotes work-life balance while being part of a team dedicated to operational excellence and automation.
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We think this is how you could land Data Loss Prevention Analyst in Leeds
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We think you need these skills to ace Data Loss Prevention 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Levy Global. 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!
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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!
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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!
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✨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.
