Mid Data Analyst

Support the development of advanced financial machine learning models by sourcing, aggregating, and preparing data from multiple internal and external sources. Clean, transform, validate, and analyze complex datasets to ensure high-quality inputs for modeling activities. Design, develop, and optimize ETL pipelines to streamline data ingestion and processing workflows while working with large-scale databases and distributed data environments. Collaborate with cross-functional teams including model developers, data scientists, and business stakeholders to deliver high-quality data solutions. Identify data quality issues and implement solutions to improve data accuracy, consistency, and accessibility. Contribute to continuous improvement of data management and analytical processes. This role requires 4–5+ years of experience, strong proficiency in SQL and Python, and fluent English. Based in Poland with a hybrid work model.