Power BI Data Analyst

Join us, and bring clarity to cybersecurity through dashboards!

Kraków – based opportunity with hybrid work model (6 days/month in the office).

As a Power BI Data Analyst, you will be working for our client, a global leader in digital finance, on a large-scale cybersecurity data initiative. The team is developing a robust Network Security Data Lakehouse within an Azure-based ecosystem, leveraging Databricks and a medallion architecture. You will play a key role in transforming raw security data into actionable insights, building interactive dashboards, and ensuring stakeholders have access to reliable and insightful visualizations. This is a highly collaborative and analytical role within a fast-paced, data-driven cybersecurity environment.

Your main responsibilities: Building interactive dashboards and reports in Power BI

• Gathering and transforming data using SQL and Python
• Collaborating with engineers to prepare data in the Azure Lakehouse
• Enhancing datasets to identify trends, anomalies, and patterns
• Managing, publishing, and maintaining dashboards in Power BI Service
• Ensuring regular dashboard refreshes and troubleshooting issues
• Engaging with stakeholders to define reporting needs and gather feedback
• Conducting analytics on large-scale IT network security data
• Using Databricks for data preprocessing and enrichment
• Supporting end-users with demos, training, and dashboard documentation

You’re ideal for this role if you have:

• Hands-on experience with Power BI Desktop and Power BI Service
• Proficiency in SQL and/or Python for data manipulation
• Strong understanding of data visualization principles
• Experience working with large datasets in a data lake environment
• Familiarity with data quality assurance and cleansing techniques
• Ability to collaborate with engineers, analysts, and business stakeholders
• Strong analytical thinking and problem-solving skills
• Experience in publishing and managing dashboards within an enterprise environment
• Ability to communicate findings to technical and non-technical audiences
• Knowledge of working in a cybersecurity or IT data context

It is a strong plus if you have:

• Experience with Apache Spark or PySpark
• Hands-on knowledge of the Databricks platform
• Understanding of medallion architecture in data lakehouses
• Familiarity with Azure Data Lake or similar cloud platforms
• Exposure to cybersecurity datasets or network security metrics

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.

Internal number #6914