Data Analyst | Mid-Senior | Threat Intelligence Team

Details

The world’s most advanced VPN, and a whole lot more.

If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands.

Your impact? Helping millions take back control of their online security, privacy, and data.

Our Threat Intelligence team is dedicated to providing accurate and timely information on potential threats to our products. Our team of skilled professionals from various fields, including Data Science, Malware Research, Development, and Privacy, is focused on achieving a common goal by utilizing feeds, heuristics, algorithms, and machine learning.

Responsibilities

• Gather, clean, and analyze new and existing data sources to support the development of new analytic initiatives from various sources;
• Provide insights and suggestions for enhancing current analytical solutions, focusing on areas such as anomaly detection, application vulnerabilities, and cybersecurity threats;
• Design intuitive dashboards and alerts to effectively visualize and communicate key insights from quantitative analysis;
• Develop and maintain reliable code, ensuring thorough documentation of the service implementation;
• Collaborate with cross-functional product teams, providing detailed quantitative analysis to drive and inform strategic decisions.

Requirements

• Minimum of 3 years of experience in data analysis or a related analytical field;
• Proficient in SQL with a comprehensive grasp of data structures and system infrastructures, demonstrating expertise in extracting data from a variety of databases;
• Ability to communicate with different teams and investigate the root causes of anomalies and outliers, including the ability to research, debug, and troubleshoot effectively;
• Proficiency in Python or another programming language and practical experience with libraries for data manipulation and visualization;
• Effectively communicate insights and analysis findings to stakeholders, showcasing strong presentation abilities;
• Familiarity with statistical concepts, such as hypothesis testing, regression analysis, data sampling techniques, and Bayesian inference;
• Capacity to prioritize tasks and make informed decisions on suitable analytical tools and techniques for specific challenges;
• Willingness to learn & adapt while staying informed of developments in data analysis.

Bonus Points For

• Experience working in a tech company or cross-functional product development team, providing valuable insights into dynamic tech environments;
• Understanding of networking and internet protocols.

Tools You Will Use

• AWS
• Python
• PySpark
• SQL
• Looker
• Jupyter notebook