Mid-Level Data Analyst – Cybersecurity & Azure Data Lake

ITDS; Kraków; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

ITDS in Kraków is hiring a Mid-Level Data Analyst specializing in cybersecurity and Azure Data Lake. You will analyze large datasets, build data pipelines, and deliver actionable insights to protect digital assets.

You will develop reusable scripts in Python and SQL, visualize findings in Power BI, and collaborate in Agile teams to align data solutions with security goals. The role offers a hybrid work model and opportunities to grow expertise in cybersecurity analytics within a global

Qualifications

• Minimum 3 years of experience in data analysis, with strong proficiency in Python and SQL.
• Experience with developing data pipelines and performing analysis on Azure Databricks platform.
• Strong data visualization skills using Power BI.

Responsibilities

• Perform in-depth analysis of large, complex datasets to extract valuable insights and identify data quality issues.
• Develop efficient, reusable scripts to collect, clean, and validate data from multiple sources, supporting automation and analytics workflows.
• Visualize findings through dashboards, charts, and reports, presenting complex information clearly for both technical and non-technical audiences.
• Collaborate with reporting stakeholders to understand business needs and ensure data solutions align with operational goals.
• Maintain comprehensive documentation of data processes, methodologies, and insights.
• Apply best software development practices, including DevOps and test-driven development, to ensure scalable and maintainable solutions.
• Work within Agile teams to continually improve data pipelines and analytics processes.

Skills

Python

SQL

Azure Databricks

Power BI

PySpark

Spark SQL

Agile

DevOps

Data Pipelines

Big Data

Tools

Azure Databricks

Power BI

PySpark

Job description

Unleash the power of data-driven cybersecurity — shape the future of secure digital innovation! Krakow-based opportunity with hybrid work model.

As a Mid-Level Data Analyst specializing in Cybersecurity and Azure Data Lake, you will be working for our client, a global leader in cybersecurity within the banking sector. You will contribute to enabling the firm to operate securely worldwide by developing advanced analytics within a Cyber Azure Data Lake environment. This role offers an exciting opportunity to work on big datasets, deliver actionable insights, and drive impactful security initiatives while advancing your expertise in a dynamic, innovative team.

Your main responsibilities:

• Perform in-depth analysis of large, complex datasets to extract valuable insights and identify data quality issues.
• Develop efficient, reusable scripts to collect, clean, and validate data from multiple sources, supporting automation and analytics workflows.
• Visualize findings through dashboards, charts, and reports, presenting complex information clearly for both technical and non-technical audiences.
• Collaborate with reporting stakeholders to understand business needs and ensure data solutions align with operational goals.
• Maintain comprehensive documentation of data processes, methodologies, and insights.
• Apply best software development practices, including DevOps and test-driven development, to ensure scalable and maintainable solutions.
• Work within Agile teams to continually improve data pipelines and analytics processes.

You're ideal for this role if you have:

• Minimum 3 years of experience in data analysis, with strong proficiency in Python and SQL programming.
• Experience with developing data pipelines and performing analysis on Azure Databricks platform.
• Strong data visualization skills using Power BI.
• Excellent attention to detail and analytical mindset.
• Effective communication skills and a collaborative attitude.
• Enthusiasm to deepen your understanding of Cybersecurity.
• Hands-on experience working in Agile environments.

It is a strong plus if you have:

• Experience working with big data and data science frameworks, especially PySpark and Spark SQL.

Language required for the role:

• Fluent English.

Eligibility to work in Europe:

• Only candidates with an existing legal right to work in the European Union will be considered for this role.