Guardio is on a mission to redefine consumer cybersecurity for the modern internet.



We operate at consumer scale, protecting millions of people every day across devices, accounts, and digital touchpoints. In a world where phishing, fraud, and AI-powered scams evolve overnight, Guardio stays ahead of the curve.

We move fast, think deeply, and build with purpose. Our culture is rooted in transparency, feedback, and collaboration along with shared wins, team dinners, company trips, and good times.

We’re a team of 100+ makers, doers, and boundary-breakers. If you’re ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of online safety, you belong here

What’s the job?

We are looking for a Data Analyst to join our team of security experts. In this critical role, you’ll be at the forefront of identifying, analyzing, and addressing risks across online platforms to protect users’ data, privacy, and overall digital safety.

You will:

• Investigate online behaviors and account activities to highlight potential risks, promote secure practices and support safer online interactions.
• Think outside the box to identify risks in online platforms and develop creative solutions to enhance user security and privacy.
• Research emerging trends and features in digital platforms to implement innovative strategies to protect users.
• Create and maintain advanced rules and monitoring systems to detect patterns, risks, and anomalies.
• Collaborate cross-functionally with Development, Research, Data Science, Product, and Marketing teams to enhance threat detection capabilities and contribute to company-wide security initiatives.
  
  

Nice! Am I the right fit?

Hard to tell. Our guess is you have a high chance of fitting in if you check as many of these as possible:

• 3+ years of hands-on experience in complex data analysis using SQL (BigQuery experience preferred).
• Strong grasp of web technologies and protocols (HTTP, DNS, HTML, etc.).
• Proficiency in data analysis tools and languages such as Python and data visualization tools.
• Strong problem-solving skills with the ability to identify challenges, implement effective solutions and tackle complex challenges.
• Ability to quickly learn and adapt to new tools and technologies.
• Outstanding communication skills, capable of translating technical concepts for both technical and non-technical audiences.