Data Analyst

As a Data Analyst at this IT company, you'll focus on analyzing security logs, managing Azure pipelines, and employing SIEM techniques. Your primary goal will be to derive insights that ensure data security while enhancing customer satisfaction through effective resolution tactics.

For the Data Analyst role in Amstelveen, candidates should possess a strong background in data analysis, particularly with security logs, KQL, and Regex. Familiarity with Azure pipelines and SIEM concepts is essential, while knowledge of Linux/Unix and Azure networking would be advantageous.

Yes! The Data Analyst position allows for remote work, requiring only two days a week on-site in Amstelveen, providing a great work-life balance while enabling effective team collaboration.

Key skills for a Data Analyst include proficiency in data wrangling, programming skills for Regex, a solid understanding of security logging, and familiarity with Azure pipelines and SIEM solutions, all of which contribute to effective data analysis and security management.

As a Data Analyst, your responsibilities will include analyzing data for security purposes, ensuring compliance with quality standards, creating proposals for service improvements, and providing training and mentoring to junior analysts.

The company fosters career growth by providing training opportunities, coaching programs for freshers, and hands-on experience in diverse analytical projects, ensuring that Data Analysts continually enhance their skills and expertise.

The work environment for a Data Analyst is collaborative and positive. With a blend of remote work and in-office days, the culture promotes open communication, professional development, and a team-oriented approach to problem-solving.

When discussing my experience with security logs, I would highlight specific projects where I analyzed security logs to identify trends or incidents, mentioning the tools used and the outcomes of my analysis to demonstrate my expertise.

In answering this question, I would detail my methodical approach to writing Regex, including understanding the problem at hand, testing expressions iteratively, and using tools to validate them, showcasing my practical experience.

I would clarify my understanding of Azure pipelines by explaining their role in continuous integration and deployment, providing examples of how I’ve utilized them to streamline data management and enhance workflow efficiency.

I would explain that SIEM stands for Security Information and Event Management, and then talk about specific scenarios where I’ve used SIEM tools to gather and analyze security data to detect incidents or breaches in previous roles.

Here, I would share an example from my professional experience where I encountered a challenging data issue, describing my analytical process, the steps I took to resolve it, and the impact it had on my team or project.

I would list my preferred data analysis tools such as SQL, KQL, or Python, providing reasons for my choices based on their strengths in handling large datasets, ease of use, and compatibility with security-focused tasks.

To ensure quality, I follow a structured approach: establishing clear objectives, validating data sources, applying best practices in data handling, and reviewing findings collaboratively with peers for accuracy.

I emphasize open communication, regular check-ins, and respect for diverse perspectives as key strategies for effective team collaboration, ensuring everyone shares their insights and feels valued.

First call resolution is crucial as it indicates operational efficiency and customer satisfaction. As a data analyst, understanding metrics related to this concept can drive better decision-making and process enhancements.

I stay updated by regularly following industry blogs, participating in webinars, joining relevant professional groups, and engaging in continuous learning through courses and certifications focused on data analysis and security.