Data Analyst - Cryptography

• Proficiency in Python and SQL.

• Experience with big data and data science frameworks ( PySpark , Spark SQL strongly preferred).

• Knowledge of  Azure Databricks and data pipeline development.

• Strong data visualization experience using  Power BI.

• Excellent analytical skills and attention to detail.

• Effective communication skills and willingness to learn.

• Hands-on experience working in an Agile team

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.  

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.  

On behalf of our client, we are searching for a Data Analyst to join the Analytics team within the Cryptography programme as part of the global Cybersecurity – Global Defence function. The role involves working on large datasets within Azure Data Lake and Databricks , applying Medallion architecture principles. You will prepare and process data for automation and reporting purposes, including dashboard creation with Power BI .

Sounds like your kind of challenge? 

#LI - Hybrid: 6/month from the office in Kraków

What you get in return

• Flexible cooperation model
• Hybrid work setup – 6/month from the office in Kraków
• Collaborative team culture – work alongside experienced professionals eager to share knowledge 
• Continuous development – access to training platforms and growth opportunities 
• Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more 
• High quality equipment – laptop and essential software provided 

,[Perform in-depth analysis of large and dynamic datasets to extract insights and ensure data quality., Develop optimized logic for data processing and design efficient, reusable scripts for data collection and cleansing., Build and maintain scalable data pipelines from multiple sources., Visualize data findings through charts, dashboards, and clear presentations (Power BI)., Collaborate with business stakeholders and the Cyber Data Lake teams., Maintain documentation for data processes, methodologies, and insights., Follow Agile and DevOps best practices, including test-driven development] Requirements: Python, SQL, Big Data, Data science, PySpark, Spark, Azure, Databricks, BI, Communication skills