Immersive Labs is hiring a Data Analyst - 12 Month FTC - UK

Responsibilities

• Analyze and interpret complex data sets to identify trends and patterns.
• Develop and maintain data dashboards and reports to support decision-making.
• Collaborate with cross-functional teams to understand data requirements and deliver insights.
• Ensure data accuracy and integrity through quality control processes.
• Provide data-driven recommendations to improve cybersecurity measures.
• Conduct ad-hoc analyses and generate reports as needed.
• Support the development of data models and algorithms to enhance threat intelligence.
• Assist in the creation of data visualizations to communicate findings effectively.
• Contribute to the improvement of data collection and storage processes.
• Participate in data governance initiatives to ensure compliance with regulations.
• Work closely with the cybersecurity team to address emerging threats.
• Perform data mining and statistical analysis to uncover actionable insights.
• Document data analysis processes and methodologies for future reference.
• Support the implementation of data analytics tools and technologies.
• Collaborate with stakeholders to define key performance indicators (KPIs).
• Monitor and analyze data from various sources to detect anomalies.
• Provide training and support to team members on data analysis tools and techniques.
• Contribute to the development of data-driven strategies to enhance cybersecurity.
• Assist in the preparation of presentations and reports for senior management.
• Participate in data-driven projects to improve overall organizational performance.
• Ensure data security and confidentiality in all analyses and reports.
• Support the development of data analytics frameworks and standards.
• Collaborate with external partners to gather and analyze relevant data.
• Provide insights and recommendations based on data analysis to drive business decisions.
• Contribute to the continuous improvement of data analytics processes and methodologies.

Nice to Have

• Master's degree in a relevant field.
• Certification in data analysis or cybersecurity.
• Experience with advanced statistical analysis tools.
• Familiarity with machine learning techniques.
• Knowledge of data warehousing and ETL processes.
• Experience with cloud-based data analytics platforms.
• Proficiency in programming languages such as Python or R.
• Experience with big data technologies such as Hadoop or Spark.
• Familiarity with data lakes and data warehouses.
• Knowledge of data privacy regulations such as GDPR or CCPA.
• Experience with data-driven risk management.
• Familiarity with data analytics in a cybersecurity context.
• Experience with data-driven performance metrics.
• Knowledge of data analytics in a threat intelligence role.
• Experience with data-driven decision support systems.
• Familiarity with data analytics in a compliance context.
• Experience with data-driven business intelligence tools.
• Knowledge of data analytics in a security operations center (SOC).
• Experience with data-driven incident response processes.
• Familiarity with data analytics in a threat hunting role.
• Experience with data-driven vulnerability management.
• Knowledge of data analytics in a red teaming context.
• Experience with data-driven threat modeling.
• Familiarity with data analytics in a blue teaming context.
• Experience with data-driven security information and event management (SIEM).
• Knowledge of data analytics in a penetration testing role.

Compensation

Competitive

Work Arrangement

Hybrid

Team

Collaborative and innovative team focused on cybersecurity and threat intelligence.

About the Role

• This role involves analyzing and interpreting complex data sets to identify trends and patterns in cybersecurity and threat intelligence.
• The data analyst will develop and maintain data dashboards and reports to support decision-making processes.
• Collaboration with cross-functional teams is essential to understand data requirements and deliver actionable insights.
• The role requires ensuring data accuracy and integrity through quality control processes.
• Providing data-driven recommendations to improve cybersecurity measures is a key responsibility.
• Conducting ad-hoc analyses and generating reports as needed to support various projects and initiatives.
• Supporting the development of data models and algorithms to enhance threat intelligence capabilities.
• Assisting in the creation of data visualizations to communicate findings effectively to stakeholders.
• Contributing to the improvement of data collection and storage processes to ensure data quality and accessibility.
• Participating in data governance initiatives to ensure compliance with relevant regulations and standards.

What You'll Need

• A bachelor's degree in a relevant field such as Data Science, Statistics, or a related discipline.
• Proven experience in data analysis, preferably in a cybersecurity or threat intelligence role.
• Strong proficiency in SQL and experience with data visualization tools such as Tableau or Power BI.
• Experience with statistical analysis and data mining techniques.
• Familiarity with data governance and compliance regulations.
• Knowledge of cybersecurity principles and threat intelligence.
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills.
• Ability to work independently and in a team environment.
• Attention to detail and a commitment to data accuracy.
• Experience with data modeling and algorithm development.
• Familiarity with data analytics tools and technologies.
• Ability to interpret complex data sets and generate actionable insights.
• Experience with data-driven decision-making processes.
• Knowledge of data visualization best practices.
• Ability to collaborate effectively with cross-functional teams.
• Experience with data governance and compliance initiatives.
• Familiarity with cybersecurity data sources and analytics.
• Strong organizational and time-management skills.
• Ability to adapt to new tools and technologies quickly.
• Experience with data-driven project management.
• Knowledge of data security and confidentiality protocols.
• Ability to provide training and support to team members.
• Experience with data analytics frameworks and standards.
• Familiarity with external data sources and partners.
• Ability to contribute to the development of data-driven strategies.

Nice to Have

• A master's degree in a relevant field.
• Certification in data analysis or cybersecurity.
• Experience with advanced statistical analysis tools.
• Familiarity with machine learning techniques.
• Knowledge of data warehousing and ETL processes.
• Experience with cloud-based data analytics platforms.
• Proficiency in programming languages such as Python or R.
• Experience with big data technologies such as Hadoop or Spark.
• Familiarity with data lakes and data warehouses.
• Knowledge of data privacy regulations such as GDPR or CCPA.
• Experience with data-driven risk management.
• Familiarity with data analytics in a cybersecurity context.
• Experience with data-driven performance metrics.
• Knowledge of data analytics in a threat intelligence role.
• Experience with data-driven decision support systems.
• Familiarity with data analytics in a compliance context.
• Experience with data-driven business intelligence tools.
• Knowledge of data analytics in a security operations center (SOC).
• Experience with data-driven incident response processes.
• Familiarity with data analytics in a threat hunting role.
• Experience with data-driven vulnerability management.
• Knowledge of data analytics in a red teaming context.
• Experience with data-driven threat modeling.
• Familiarity with data analytics in a blue teaming context.
• Experience with data-driven security information and event management (SIEM).
• Knowledge of data analytics in a penetration testing role.

Why Join Us?

• Join a collaborative and innovative team focused on cybersecurity and threat intelligence.
• Work on cutting-edge projects that make a real impact in the field of cybersecurity.
• Enjoy a competitive compensation package and a hybrid work arrangement.
• Gain experience in a dynamic and fast-paced environment.
• Collaborate with a diverse team of experts in data analysis and cybersecurity.
• Contribute to the development of data-driven strategies to enhance cybersecurity measures.
• Opportunity to work on a 12-month fixed-term contract with the potential for extension.
• Access to training and development opportunities to enhance your skills and knowledge.
• Be part of a team that values innovation, collaboration, and continuous improvement.
• Work on projects that have a direct impact on the organization's cybersecurity posture.

How to Apply

• Submit your application through the provided link.
• Include your resume and a cover letter highlighting your relevant experience and skills.
• Ensure your application is tailored to the role and demonstrates your fit for the position.
• Provide examples of your previous work in data analysis and cybersecurity.
• Highlight any relevant certifications or additional qualifications.
• Include any relevant projects or initiatives you have worked on.
• Demonstrate your ability to work in a team and collaborate effectively.
• Showcase your problem-solving skills and analytical abilities.
• Provide examples of your experience with data visualization tools and techniques.
• Include any experience with data governance and compliance regulations.

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