Data Analyst · Mid-Senior · Threat Intelligence
EUR 38,400-70,800 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Data Analysis @ 5
Data Structures @ 5
Python @ 5
SQL @ 5
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Nord Security is seeking a Data Analyst to support threat intelligence initiatives and help develop analytics focused on cybersecurity threats, application vulnerabilities, and anomaly detection.
Responsibilities
- Gather, clean, and analyze new and existing data sources to support the development of analytical initiatives.
- Provide insights and suggestions for enhancing analytical solutions, including anomaly detection, application vulnerabilities, and cybersecurity threats.
- Design intuitive dashboards and alerts to visualize and communicate key insights from quantitative analysis.
- Develop and maintain reliable code, ensuring thorough documentation of service implementation.
- Collaborate with cross-functional product teams and provide detailed quantitative analysis to inform strategic decisions.
Requirements
- At least 3 years of experience in data analysis or a related analytical field.
- Proficiency in SQL, with a comprehensive understanding of data structures and system infrastructures.
- Expertise in extracting data from a variety of databases.
- Ability to communicate with different teams and investigate the root causes of anomalies and outliers.
- Ability to research, debug, and troubleshoot effectively.
- Proficiency in Python or another programming language.
- Practical experience with libraries for data manipulation and visualization.
- Strong ability to communicate insights and analytical findings to stakeholders, including presentation skills.
- Familiarity with statistical concepts such as hypothesis testing, regression analysis, data sampling techniques, and Bayesian inference.
- Ability to prioritize tasks and select appropriate analytical tools and techniques for specific challenges.
- Accountability, ownership, initiative, and commitment to delivering results.
- Willingness to learn and adapt while staying informed about developments in data analysis.
Benefits
- Online and in-person training programs, access to Coursera and Skillshare, mentorship, and internal career opportunities.
- Additional vacation days and time off for sick leave, special occasions, and parenting.
- Premium private health insurance in Lithuania and Poland.
- Subscriptions to Calm, Headspace, and Mindletic, along with resilience and mindfulness training and mental health events.
- In-house gyms, Multisport and Urban Sport cards, online workouts, and physical well-being support.
- Company workations abroad.
- The ability to work from different locations.
- Gifts for birthdays, work anniversaries, weddings, and new family members.
- Summer camps for children and flexible working arrangements for parents.
- Team buildings and company events.
- Access to Nord Security's Vilnius headquarters, including silent rooms, gyms, a game room, music room, and coffee bar.
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