At a Glance
- Tasks: Analyse cyber security data and create actionable insights to enhance security measures.
- Company: Join a leading tech firm focused on innovative cyber security solutions.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on career advancement.
- Why this job: Make a real difference in cyber security while working with cutting-edge technology.
- Qualifications: 5+ years in data analysis, strong SQL and Power BI skills required.
The predicted salary is between 63000 - 77000 £ per year.
Cyber Security Data Analyst - Frontier AI Programme
Location
London (Hybrid - 8 days onsite per month)
Contract
- Contract
- Inside IR35 (UK-based candidates)
The Role
We are seeking an experienced
Cyber Security Data Analyst to support a major Frontier AI Response Plan within a CISO Offensive Security Tribe.
This is a specialist Data Analyst position sitting at the intersection of Data Analytics, Cyber Security and Technology Risk.
The successful candidate will act as the reference data analyst across the programme, establishing trusted data foundations, models, reporting and analytical capabilities to help measure cyber exposure, prioritise remediation activity and evidence risk reduction.
You will work across vulnerability management, offensive security, system hardening, detection and response, recovery and governance, bringing together fragmented data from multiple security and technology platforms to produce reliable, actionable insight.
Key Responsibilities
- Design and maintain enterprise data models covering assets, applications, vulnerabilities, exposures, controls and remediation.
- Integrate and analyse data from CMDB, vulnerability scanners, cloud, identity, SIEM, ITSM, GRC and security platforms.
- Establish data quality, lineage, reconciliation and governance controls.
- Develop and maintain programme KPIs and KRIs, including vulnerability exposure, remediation performance and risk reduction.
- Build operational, management and executive dashboards using Power BI.
- Support vulnerability management and Continuous Threat Exposure Management (CTEM) analytics.
- Develop data flows, transformation logic and automated reporting processes.
- Translate complex security data into clear insights and recommendations for senior stakeholders.
Essential Skills & Experience
- Minimum 5 years' experience in Data Analysis, Data Management, Business Intelligence or Security Analytics.
- Strong SQL skills and practical experience using Python or equivalent analytical tools.
- Strong Power BI experience, including semantic modelling and dashboard development.
- Experience with enterprise data modelling, data integration and data transformation.
- Understanding of data governance, data quality, lineage and reconciliation.
- Experience developing KPIs, KRIs, management reporting and analytical frameworks.
- Experience working with multiple enterprise systems, APIs, databases and structured/semi-structured data.
- Excellent stakeholder management and communication skills.
Desirable Experience
- Cyber Security, Technology Risk or Vulnerability Management environments.
- Unified Vulnerability Management (UVM).
- Continuous Threat Exposure Management (CTEM).
- Security tools and platforms including SIEM, CMDB, SAST, DAST, SCA and threat intelligence.
- Experience with cloud security, asset management and remediation workflows.
- Knowledge of cyber risk, attack paths and regulatory evidence.
- Location & Contract Details
- London-based role.
- Hybrid working, with 8 days onsite per month in London.
- UK-based candidates will be engaged Inside IR35.
- Professional English required.
- #J-18808-Ljbffr
Data Analyst (CISO Tribe) - Frontier AI Programme - Inside IR35 employer: Xpand Group
Xpand Group is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals looking to make a significant impact in the retail sector. With a strong emphasis on employee growth and development, team members are encouraged to enhance their skills through continuous learning opportunities while working on cutting-edge planning solutions for a leading consumer brand. The hybrid work model offers flexibility, allowing employees to balance their professional and personal lives effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (CISO Tribe) - Frontier AI Programme - Inside IR35
✨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 Xpand Group 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 Xpand Group.
✨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 Xpand Group.
We think you need these skills to ace Data Analyst (CISO Tribe) - Frontier AI Programme - Inside IR35
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Xpand Group, 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 Xpand Group, 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 Xpand Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Xpand Group
✨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 Xpand Group.
✨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 Xpand Group.
✨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 Xpand Group.
