Job Details

Vulnerability Management Data Analyst
Princeton NJ or Berwyn PA or Clifton, NJ or Austin, TX or Atlanta, GA or Sacramento , CA or Boston, MA or Quincy, MA (4 days a week in office)
Full Time
Web Cam Interview

$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.

• 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

• 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

• 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