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About
$160-195K/Yr plus Bonus plus Benefit
Role:-
Recruit an experienced data analyst within its Global Cybersecurity Vulnerability Management team. This role involves working with domain experts to develop Client analytics for cybersecurity risk management solutions. Analysts apply skill and experience to datasets using SQL and scripting languages to surface meaningful insights and partner with key stakeholders. What you will be responsible for
Use your understanding of Security Data Science and Graph Theory to analyse cybersecurity data. Work hand in hand with product owners and domain experts from across the Global Cybersecurity organization to develop Client analytics for security and risk management solutions. Analyse datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to partner teams and other key stakeholders Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand behaviors and interactions Build, manage, deploy, and monitor end-to-end analytical solutions to Build and share data visualizations and self-serve dashboards for your product team, and support planning, facilitation, and execution of regular communication and coordination across cross-functional teams Continually reviewing completeness and accuracy of relevant data platforms Maintaining situational awareness, collaborate, influence and lead initiatives across the enterprise Work closely with business units to understand people, process, and technology in order to build effective vulnerability management strategies What we value
The ability to thoroughly evaluate and understand complex data sets Knowledge and understanding of vulnerability management and remediation Strong organizational, multi-tasking, and prioritizing skills Ability to work independently and solve challenging problems Knowledge and interest in vulnerability related trends Security certification a plus Experience within a vulnerability management role Ability to work in an environment with a geographically dispersed team Education & Preferred Qualifications
Bachelor's degree in a quantitative field with a minimum of 8 years of industry experience or PhD in a quantitative technical field with 4+ years of relevant industry experience. Direct relevant experience building models and analytics for cybersecurity, insurance, and other data intensive risk management related domains, structuring operational and log data in cloud native analytics environments. Demonstrated ability to work as an independent contributor driving research and analyses from conception to implementation with minimal guidance. Experience with scripting and data analysis programming languages, such as Python or R and advanced proficiency with SQL and data visualization tools Experience with cohort and funnel analyses, population clustering and segmentation techniques, and a deep understanding statistical concepts related to experimental design, selection bias, probability distributions, and Bayesian inference Experience answering unstructured questions, driving data-driven solutions, and managing projects and tasks to a conclusion Direct experience in the cybersecurity industry building analytics, models and detections (minimum 1-2 years). Ability to make difficult decisions in unique situations, present recommendations under pressure to senior leadership and to cross-functional teams that my have conflicting positions Demonstrated ability to identify core issues and work with leaders and team members to resolution Strong organizational, task switching, and prioritizing skills Ability to work independently and solve challenging problems while collaboration with stakeholders Advanced presentation skills, both orally and written Ability to work well with others and under pressure Demonstrated professionalism in approach to communicating ideas and solutions in simple language to team members, senior leaders and business partners
Languages
- English
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