Product analyst

Hoxhunt’s product team is at the center of the company, working closely with our sales, tech, marketing and customer success departments. The team gets to analyze user behavior constantly both to understand how to maximize our impact and the next steps for achieving it. You don't need to be a finished Product talent – we will help you grow in the direction you want to grow towards. Recruitment is open 10.1.- 25.01.2022, so apply now if you’re ready for a new adventure!

Our ideal candidate is someone who is interested in understanding our products' user behavior and analyzing data to build knowledge. Understanding customers and users is key for building great products, and with great data analysis (your job) we can all trust we’re betting on the right initiatives.


The Summer Hunters program will last for three months, from 1st of June to 30th of August, but we hope you’ll join us after the summer as a part-time or full-time product analyst depending on your studies and situation. The timing is also negotiable if that exact slot doesn’t suit you.

What we have to offer

Cybersecurity is a growing industry. You get to build a product that defends companies from cybercrime, help support the cyber skills training for vast amounts of everyday professionals, and make the world more cyber secure

  • Since 2016, our family has grown from 4 founders to 90 people
  • Hoxhunt’s add-on for engaging with training and reporting real threats are present on 500,000+ workstations and accounts globally
  • We value professional growth, peer-support, and learning; we support these values in various ways
  • We have a strong company culture and care for our people
  • All of our employees have extensive health care
  • Your work matters – we value and support professional growth, peer-support and learning
  • Last but not least, we promise you a fun but ambitious environment that works hard, plays hard, and laughs a lot

We’re hoping you have

  • Interest in product management, data and analytics
  • Accuracy, attention to detail, analytical thinking and creative problem-solving ability
  • Experience in SQL and with at least one scientific programming language such as R, Python or Julia, and their analytics packages such as scipy/numpy, pandas, etc.
  • Studying or degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field.
  • Passion for continuous learning and professional growth
  • Fluent written and spoken English; other languages are seen as benefit

Choose the boots that fit you the best

The application period for positions opening in January end on 25.01.