Principal Security Data Analyst
Principal Security Data Analyst

Principal Security Data Analyst

Portsmouth Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Security Data Analyst, designing and developing a platform for security data analysis.
  • Company: Oracle's Software Assurance team is diverse, innovative, and focused on application security at scale.
  • Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
  • Why this job: Be part of a greenfield project that combines cutting-edge technology with impactful security solutions.
  • Qualifications: Bachelor’s degree in a related field and 5+ years in software development or data management required.
  • Other info: Experience with cloud services and machine learning is a plus; mentorship opportunities available.

The predicted salary is between 48000 - 84000 £ per year.

Oracle’s Software Assurance organization has the mission 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.

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 and 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.

Responsibilities:

  • Architect and 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.
  • Mentor junior engineers and provide technical guidance.

Principal Security Data Analyst employer: Oracle

At Oracle, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. Our diverse team thrives on inclusivity, providing ample opportunities for professional growth and development, particularly in the exciting field of application security. With the unique advantage of working on cutting-edge projects in a supportive atmosphere, employees can expect to make a meaningful impact while enjoying the resources of a large enterprise combined with the agility of a start-up.
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Contact Detail:

Oracle Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal Security Data Analyst

✨Tip Number 1

Familiarise yourself with the latest trends in cybersecurity and data analysis. Being well-versed in current threats and compliance standards will not only boost your confidence but also demonstrate your proactive approach to potential employers.

✨Tip Number 2

Network with professionals in the field of security data analysis. Attend industry conferences, webinars, or local meetups to connect with others who can provide insights or even refer you to opportunities within their organisations.

✨Tip Number 3

Showcase your technical skills through personal projects or contributions to open-source initiatives. This hands-on experience can be a great conversation starter during interviews and highlights your ability to apply your knowledge practically.

✨Tip Number 4

Prepare for interviews by practising common technical questions related to data analysis and security frameworks. Being able to articulate your thought process and problem-solving skills will set you apart from other candidates.

We think you need these skills to ace Principal Security Data Analyst

Data Analysis
Cybersecurity Expertise
API Development
Programming in Python, Go, or Java
Data Management
Experience with MySQL
Knowledge of Security and Compliance Frameworks
Performance Optimisation Techniques
Problem-Solving Skills
Collaboration and Communication Skills
Experience with Data Science Tooling (e.g., Jupyter, pandas)
Understanding of Threat Analysis
Familiarity with OWASP and Security Standards
Automation of Security Controls
Documentation Skills
Mentoring and Technical Guidance

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, security research, and software development. Emphasise your skills in programming languages like Python, Go, or Java, and your familiarity with data science tools.

Craft a Compelling Cover Letter: In your cover letter, express your passion for cybersecurity and how your background aligns with the role. Mention specific projects where you've designed scalable platforms or handled large datasets, showcasing your problem-solving skills.

Showcase Relevant Experience: When detailing your work history, focus on roles that involved API development, data management, and compliance frameworks. Use metrics to demonstrate your impact, such as improvements in data processing efficiency or security enhancements.

Prepare for Technical Questions: Be ready to discuss your technical expertise in detail. Prepare examples of how you've implemented security best practices, automated compliance controls, or worked with MySQL databases. This will help you stand out during the interview process.

How to prepare for a job interview at Oracle

✨Showcase Your Technical Skills

Be prepared to discuss your experience with programming languages like Python, Go, or Java. Highlight specific projects where you developed scalable platforms or handled large datasets, as this will demonstrate your technical expertise relevant to the role.

✨Understand Security Frameworks

Familiarise yourself with security and compliance frameworks such as OWASP, NIST, and PCI-DSS. Be ready to explain how you've applied these standards in past roles, as this knowledge is crucial for the position.

✨Prepare for Problem-Solving Questions

Expect to tackle problem-solving scenarios during the interview. Practice articulating your thought process when faced with complex data analysis or security challenges, as this will showcase your analytical skills.

✨Demonstrate Collaboration Skills

Since the role involves working with cross-functional teams, be prepared to discuss examples of how you've successfully collaborated with others. Highlight your communication skills and ability to explain technical concepts to non-technical stakeholders.

Principal Security Data Analyst
Oracle
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