Secure your enterprise with the autonomous cybersecurity platform. Endpoint. Cloud. Identity. XDR. Now.
next-generation endpoint protection • endpoint detection & response • threat and malware prevention • exploit prevention • cybersecurity
1001 - 5000
April 11
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Secure your enterprise with the autonomous cybersecurity platform. Endpoint. Cloud. Identity. XDR. Now.
next-generation endpoint protection • endpoint detection & response • threat and malware prevention • exploit prevention • cybersecurity
1001 - 5000
• Develop statistical methods & models for quantifying tangible and intangible metrics that deliver value or drive decisions/action. • Define data or data characteristics that would aid in the measurement of materially valuable metrics. • Collect, clean, and analyze data to uncover trends, patterns, and insights. • Collaborate within the team (data engineers, data scientists & data modelers) to understand available data, business and technical processes, and internal platforms & tools, which will be your data source. • Utilize Excel for data manipulation, analysis, and visualization. • Write and optimize SQL queries for data extraction and manipulation. - or clearly define data features or data set requirements to enable rapid Data engineer actions to meet these needs. • Use Python for data analysis and scripting as needed. • Develop and maintain regular reports and dashboards to track key performance indicators (KPIs). • Present findings and recommendations to internal stakeholders and the group Vice President clearly and concisely. • Stay abreast of industry trends and best practices in statistics & data analysis. • Propose and implement improvements to existing processes and methodologies. • Experience using AI tools and exploring new technologies
• At least Junior year toward Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science, etc.). • Strong statistical, analytical and problem-solving skills, with very strong emphasis on simplicity vs complexity. • Proficiency in Microsoft Excel, SQL, statistical modeling, Monte Carlo models, Confidence interval development & calibration. • Detail-oriented and able to manage multiple tasks and priorities.
• Our global internship program trains the next generation of technology talent across a range of specializations, from threat intelligence to information security, engineering, Data & Analytics, Data Governance, Business-oriented data valuation, and marketing. • Interns interested in this role can learn about solving some of the most difficult data-oriented challenges in every company and every industry from leading thinkers, grow their professional networks, and be part of a career-defining experience including: • 1:1 mentorship with subject matter experts and executives. • The opportunity to expand your knowledge and work on challenging projects that will help you in your career, regardless of the industry. • Training and Development opportunities • Connections to other recent grads, and employees across the company • Leadership speaker series where you can learn about other areas of the business and ask questions to the senior leadership team and industry experts
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