Data Analyst

at  Gen Digital

Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our combined heritage is rooted in providing safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy and identity protection to more than 500 million users in 150 countries so they can live their digital lives safely, privately, and confidently today and for generations to come. We’re always looking for smart, fearless, and dedicated people. Together, we have collective passion and a big vision to power Digital Freedom by protecting consumers and giving them control of their digital lives.
When you’re a part of Gen, you are provided access to a range of resources and support to ensure you can do your best work and live your best life. This includes flexible working options with generous time off and competitive benefits & compensation packages.
Diversity is foundational to how we do business because we know the greatest ideas and results come from our unique perspectives and differences. We strive to create a safe, inclusive environment where you can bring your whole self to work. Team members are valued, respected, and celebrated for who they are in a meaningful and exciting atmosphere. Gen is an equal employment opportunity employer. Employment decisions are based on merit, experience, and business needs.
If this sounds like you—Gen has a dynamic, supportive culture with core values that celebrate diversity, promote teamwork, and encourage every team member to contribute and grow—join us!
About The Role:
You will work with threat data coming from hundreds of millions of users. You will be responsible for cleaning, understanding, and aggregating the data, as well as preparing dashboards, automated jobs, and claims for various departments around the organisation.
About The Team:
As part of Threat Labs, we are a technical-oriented team implementing systems to support our malware analysts, improving our cyber threat intelligence, and taking care of threat-related data. We are a mix of software developers, data analysts, and reverse engineers, supporting the business in anything related to cyber safety events.

What You’ll Do In This Role:

• Analyse and aggregate threat data into digestible reports and claims.
• Look for interesting anomalies and trends in the data.
• Develop automated data jobs in Google Cloud.
• Learn about the cybersecurity world, malware threats, and the systems producing and consuming the data.
• Cooperate with various teams interested in the threat data.

What We Can Offer:

• Annual bonus scheme.
• Unlimited PTO (paid time off), flexible working hours.
• The chance to join a major global tech company listed on the S&P 500.
• Opportunity to learn and work with the best in the Digital Security industry.
• Cafeteria points are provided by Benefit Plus (meal plan, pension insurance, travel, free time activities, multisport card, and much more).
• Tuition reimbursement for job-related courses.
• Learning & Development plan.
• Sustainable home improvement bonus.
• Mac/Windows laptop and mobile phone.

Gen is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and accessible environment for all employees. All employment decisions are based on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy (including childbirth or related medical conditions), genetic information, disability (physical or mental), medical condition, marital status, sexual orientation, gender identity or gender expression, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Gen strictly prohibits unlawful discrimination based on such protected characteristics and seeks to recruit the most talented candidates from diverse cultures and backgrounds.
We also consider employment-qualified individuals with arrest and conviction records. In addition, we will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
Learn more about pay transparency
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Gen complies with all anti-discrimination laws.
To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government

• Analyse and aggregate threat data into digestible reports and claims.
• Look for interesting anomalies and trends in the data.
• Develop automated data jobs in Google Cloud.
• Learn about the cybersecurity world, malware threats, and the systems producing and consuming the data.
• Cooperate with various teams interested in the threat data