Data Analyst

Avenga

Prague, Czech Republic
On-site
Pyspark for etl and data transformations
Pandas or polars practical knowledge
Git and version control experience
Perform data analysis and data mining to support business decisions

Job Summary

  • Perform data analysis and data mining to support business decisions.
  • Develop and maintain ETL processes using PySpark and ensure high-quality, production-ready data pipelines.
  • Collaborate with business and technical stakeholders and continuously identify opportunities for improvement and innovation.

Matching Summary

Perform data analysis and data mining to support business decisions.

Skills & Requirements

Must-have

  • PySpark for ETL and data transformations
  • Pandas or Polars practical knowledge
  • Git and version control experience
  • Production Python code best practices
  • Collaboration with analysts and business units
  • Proactive data-driven hypothesis implementation

Nice-to-have

  • Banking or financial sector experience
  • Data pipeline orchestration tools
  • PySpark performance optimization
  • Event detection in data
  • Machine learning and statistics knowledge

Key Requirements

  • 3+ years of experience working with data
  • Data mining experience
  • Good command of English

Work Rights

Not specified

Tailored Resume

Cover Letter