Principal Security Data Analyst
Principal Security Data Analyst

Principal Security Data Analyst

Bath Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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Oracle

At a Glance

  • Tasks: Join us as a Security Data Analyst to design and develop a platform for analysing large datasets.
  • 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 security research with cutting-edge technology.
  • Qualifications: Bachelor’s degree in a related field and 5+ years of relevant experience required.
  • Other info: Mentorship opportunities available for junior engineers and a collaborative team environment.

The predicted salary is between 48000 - 72000 £ 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 blends the resources of a large enterprise with the innovative spirit of a start-up. Our inclusive culture fosters collaboration and creativity, providing ample opportunities for professional growth and development in the rapidly evolving field of cybersecurity. Join us in our mission to create secure solutions while enjoying the benefits of a supportive team and a commitment to employee well-being.
Oracle

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 specific security frameworks mentioned in the job description, such as OWASP, NIST, and ISO-27001. Understanding these standards will not only help you in interviews but also demonstrate your commitment to security best practices.

✨Tip Number 2

Showcase your experience with data management and API development by preparing examples of past projects where you successfully built scalable platforms. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your problem-solving skills.

✨Tip Number 3

Engage with the latest trends in cybersecurity and data analysis by following relevant blogs, attending webinars, or joining online communities. This will not only keep you informed but also provide you with talking points during interviews to show your passion for the field.

✨Tip Number 4

Prepare to discuss your collaboration and communication skills, especially in cross-functional teams. Think of specific instances where you explained complex technical concepts to non-technical stakeholders, as this is crucial for the role and 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)
Threat Analysis
Understanding of OWASP and Security Standards
Agile Methodologies
Technical Documentation

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 or Java, and your familiarity with database management systems such as MySQL.

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 abilities.

Showcase Relevant Skills: Clearly outline your experience with API development, data science tools, and security frameworks. Use bullet points to make it easy for the hiring team to see how you meet the job requirements.

Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Describe how you communicated complex technical concepts to non-technical stakeholders, demonstrating your strong communication skills.

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.

✨Demonstrate Problem-Solving Abilities

Prepare examples of complex problems you've solved in previous roles, particularly those related to data analysis or security threats. This will showcase your analytical skills and ability to think critically under pressure.

✨Communicate Effectively

Practice explaining technical concepts in simple terms, as you'll need to communicate with non-technical stakeholders. Good communication skills are essential for collaboration within cross-functional teams.

Principal Security Data Analyst
Oracle
Location: Bath
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