Lead Data Analyst
HybridKraków, Lesser Poland, Poland
Job Summary
Coordinate complex data analysis and transformation activities across large-scale datasets using Python, SQL, and PySpark. Translate business requirements into effective data and analytical solutions while supporting the development and improvement of data transformation pipelines. Deliver hands-on analysis to identify data issues, trends, and opportunities, communicating findings clearly to business, technology, and data stakeholders. Provide subject-matter support and knowledge sharing to other analysts within the team. This role combines advanced data analysis with responsibility for analytical workstreams in a B2B contract for leading financial institutions, featuring hybrid work arrangements.
Required Qualifications
- Strong hands-on experience with Python (upper-intermediate or above), SQL, and PySpark
- Experience working with large-scale datasets and data transformation pipelines
- Strong analytical and problem-solving skills
- Ability to translate business requirements into data solutions
- Experience coordinating analytical workstreams and sharing expertise with other analysts
- Strong stakeholder management and communication skills
Desired Qualifications
- Experience within banking or financial services
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