Senior Data Analyst

The role involves working with high-volume transactional datasets, improving data quality, and enabling data-driven enhancements in operational and analytical systems.

Responsibilities

• Perform data profiling, cleansing, quality checks, and exploratory analysis on complex transactional datasets
• Collaborate with product and technical teams to define and refine rules and logic used in data-driven workflows
• Translate findings into actionable insights and prepare reports for both technical teams and business stakeholders
• Utilize Python and Git for data pipeline management, workflow automation, and documentation
• Coordinate with engineering and data science teams, including integration of new data sources and tools (experience with GCP/BigQuery is a plus)

Requirements

Requirements

• Master's degree in Data Analysis or a related discipline
• 5+ years of professional experience in data analysis following completion of the master's degree
• Demonstrated expertise in data profiling, validation, and quality assurance
• Experience handling and analyzing structured transactional data
• Proficiency in Python and Git for data processing and collaboration
• Strong communication skills in English (written and verbal)
• Familiarity with GCP/BigQuery and/or financial sector data systems is a plus

English

• B2+ (Upper-Intermediate or higher)

Type of Work‍

• Remote
• Full-Time

Time zone

• Central European Time