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- Tasks: Ensure data security and compliance while managing data models and flows.
- Company: Join a forward-thinking company prioritising data integrity and governance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference in data security and governance in a dynamic environment.
- Qualifications: Experience in data security or governance with strong analytical skills.
- Other info: Collaborative culture with a focus on continuous improvement and innovation.
The predicted salary is between 36000 - 60000 £ per year.
The Data Security Analyst will ensure that ERP data is structured, governed and controlled to meet both business and regulatory requirements. The Data Security Analyst will define and maintain secure data models, dictionaries, and flows, to protect the integrity and compliance of data across ERP.
Responsibilities
- Data Architecture & Modelling: Define and document scalable data architectures and conceptual data models, capturing entities, relationships, and flows to support current and future business requirements.
- Data Dictionary Management: Develop and maintain a comprehensive data dictionary including definitions, formats, ownership, and lineage of all key data elements to ensure consistency, governance, and cross-functional clarity.
- Process & Flow Documentation: Capture and document existing data flows and process interactions across systems, interfaces, and business functions to provide baselines for analysis, optimisation, and integration planning.
- Change Control: Design and implement a change control process for data artefacts, ensuring modifications are governed, version-controlled, and effectively communicated to relevant stakeholders.
- Collaborate with security, engineering, and business teams to ensure data handling complies with legal, regulatory, and internal security standards.
- Provide guidance on data integrity, security, and governance as part of transformation and integration programmes.
- Support the implementation of data governance frameworks, policies, and standards.
- Classify and manage sensitive data in alignment with regulatory requirements.
- Collaborate with IT, legal, and compliance teams to enforce data handling, retention, and privacy policies.
- Support data quality initiatives to ensure accuracy, integrity, and availability of critical information assets.
Experience and Knowledge
- Essential
- Experience in a data security, governance, or analyst role.
- Strong knowledge of data modelling, architecture, and metadata management.
- Familiarity with data governance frameworks and tools.
- Understanding of data flows across complex enterprise systems.
- Experience developing and implementing change control or governance processes.
- Excellent documentation and communication skills.
- Desired
- Knowledge of cloud platforms (AWS, Azure, GCP) and data security considerations.
- Experience with data lineage, cataloguing, and dictionary tools.
- Exposure to regulatory compliance requirements (GDPR, PCI, SOX, etc.).
- Involvement in large-scale data transformation or ERP programmes.
Skills / Behaviours
- Essential
- Analytical and detail-oriented, with strong problem-solving skills.
- Highly organised with the ability to manage multiple deliverables.
- Strong communicator, able to work with both technical and non-technical stakeholders.
- Proactive mindset with a focus on governance and continuous improvement.
Data Security Analyst in Bury employer: JD Sports
Contact Detail:
JD Sports Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Security Analyst in Bury
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its data security practices. Be ready to discuss how your skills align with their needs, especially around data governance and compliance.
✨Tip Number 3
Showcase your expertise! Bring examples of your previous work, like data models or documentation you've created, to demonstrate your capabilities during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Security Analyst in Bury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Security Analyst role. Highlight your experience in data governance and security, and don’t forget to mention any relevant tools or frameworks you’ve worked with. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data security and how your background makes you a perfect fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Documentation Skills: Since documentation is key in this role, make sure to demonstrate your ability to create clear and comprehensive documents. Whether it’s data models or process flows, give us examples of your work that highlight your attention to detail and organisational skills.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to upload all your documents in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at JD Sports
✨Know Your Data Models
Make sure you brush up on your data modelling and architecture knowledge. Be ready to discuss how you would define and document scalable data architectures, as this is crucial for the role. Having specific examples from your past experience will really help you stand out.
✨Master the Data Dictionary
Familiarise yourself with the concept of a data dictionary. Be prepared to explain how you would develop and maintain one, including definitions, formats, and ownership of key data elements. This shows that you understand the importance of consistency and governance in data management.
✨Document Your Processes
Think about how you would capture and document existing data flows and process interactions. Bring examples of how you've done this in previous roles, as it demonstrates your ability to provide baselines for analysis and optimisation, which is key for this position.
✨Communicate Effectively
Since you'll be collaborating with various teams, practice articulating complex data concepts in simple terms. Highlight your communication skills during the interview, especially how you can bridge the gap between technical and non-technical stakeholders. This will show you're not just a data whiz but also a team player.
