National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Security Data Analyst

Oracle
Liverpool
4 months ago
Applications closed

Related Jobs

View all jobs

GCP Data Engineer

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Data Engineer

Oracle’s Software Assurance organization has the mission is to make application security and software assurance, at scale, a reality. We are a diverse and inclusive team of architects, researchers, and engineers, combining our unique perspectives and expertise to create secure and innovative solutions to complex challenges. With the resources of a large enterprise and the agility of a start-up, we are working on a greenfield software assurance project.


Work You’ll Do

We are seeking a Security Data Analyst to join our team. This role will combine data analysis, security research, and development skills where you will be responsible for designing, developing a platform capable of analyzing large datasets for security and compliance requirements. You will leverage your expertise in cybersecurity to proactively identify and address emerging threats, ensuring that secure coding practices are seamlessly integrated into every stage of development.


What You’ll Bring

  • Bachelor’s degree in computer science, Engineering, or a related field (or equivalent work experience).
  • 5+ years of experience in software/platform development/engineering from front end (web), mobile, back end, ad tech, or analytics dataflows backgrounds.
  • Extensive experience in dataflows, or similar roles in data management with proven experience building automated and scalable platforms for data-intensive applications.
  • Experience with navigating and handling large data sets and the ability to design and implement scalable and maintainable systems
  • Strong background in API development and associated architectural patterns such as REST or gRPC
  • Programming experience in Python, Go, Java, or similar.
  • Experience with data science concepts such as data preparation, exploration, modelling and the ability to apply this process when handling structured or unstructured data
  • Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy
  • API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc.
  • Strong knowledge of database management systems (DBMS) such as MySQL
  • Hands-on experience with security and compliance frameworks and standards.
  • Knowledge of performance optimization techniques for mobile applications, including memory, CPU and network efficiency.
  • Excellent problem-solving and analytical skills.
  • Strong collaboration and communication skills, with the ability to work in cross functional teams and explain complex technical concepts to non-technical stakeholders.


Nice to Have:

  • Experience with OCI cloud-based services
  • Experience with machine learning or AI in security applications.
  • Experience in Agile methodologies and using project management tools like JIRA and confluence.
  • Knowledge of Software Assurance programs

Career Level - IC5


Responsibilities:

  • Develop a secure, high-performance platform to ingest, parse, and analyze large volumes of API data stored in a MySQL database.
  • Work closely with internal and client teams to analyze, define and implement data rules and data flows, translating these into an auditable tool.
  • Scope and execute threat analysis to research, evaluate, track, and manage information security threats and vulnerabilities in data flows.
  • Ensure the tooling is secure by collaborating with architects and security teams to implement best practices for compliance, data privacy, and protection, while integrating tools and frameworks to assess APIs against OWASP and other relevant security standards (NIST, ISO-27001, PCI-DSS, HIPAA, FedRAMP)
  • Automate security and compliance controls into the platform for continuous monitoring and reporting.
  • Execute MySQL queries to ensure data integrity and consistency
  • Create intuitive dashboards and reports for stakeholders.
  • Create tools to help engineering teams identify security-related weaknesses
  • Stay up to date with the latest trends and technologies, contributing to ongoing improvements of platform architecture and best practices.
  • Maintain clear, comprehensive documentation on the platform architecture, services, and technical decisions to support internal teams and future development.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.