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Data Analytics Intern

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SentinelOne

Apr 17

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data

Requirements

  • 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.

Responsibilities

  • 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

SentinelOne

Secure your enterprise with the autonomous cybersecurity platform. Endpoint

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

SentinelOne is a leading provider of autonomous security solutions for endpoint, cloud, and identity environments. Founded in 2013 by a team of cybersecurity and defense experts, SentinelOne revolutionized endpoint protection with a new, AI-powered approach. Our platform unifies prevention, detection, response, remediation, and forensics in a single, easy-to-use solution. Our endpoint security product is designed to protect your organization's endpoints from known and unknown threats, including malware, ransomware, and APTs. It uses artificial intelligence to continuously learn and adapt to new threats, providing real-time protection and automated response capabilities. SentinelOne's approach to security is designed to help organizations secure their assets with speed and simplicity. We provide the ability to detect malicious behavior across multiple vectors, rapidly eliminate threats with fully-automated integrated response, and adapt their defenses against the most advanced cyberattacks. We are recognized by Gartner in the Endpoint Protection Magic Quadrant as a Leader and have enterprise customers worldwide. Our customers include some of the world's largest companies in various industries such as finance, healthcare, government, and more. At SentinelOne, we understand that cybersecurity is a constantly evolving field and that the threats facing organizations are becoming increasingly sophisticated. That's why we are committed to staying at the forefront of technology and innovation and providing our customers with the best protection against cyber threats. We offer our customers a wide range of services, including threat hunting, incident response, and incident management. Our team of experts is available to assist you 24/7 and can help you respond to and manage cyber incidents quickly and effectively.