Data Analyst

Role overview Turn large, varied datasets into reliable analysis that helps teams understand customer behavior, digital marketing performance, and business results. You’ll prepare analytical datasets, investigate data issues, and support both recurring measurement and ad hoc business questions in collaboration with marketing, business, and data colleagues.

Responsibilities - Analyze customer, campaign, and business performance data. - Build and maintain analytical datasets using SQL and PySpark. - Combine and transform data from multiple sources for reporting and advanced analysis. - Support campaign measurement, segmentation, funnel analysis, retention, churn, and return-on-investment calculations. - Check the quality and consistency of analytical outputs; investigate issues and identify workflow improvements. - Respond to ad hoc analytical requests and help optimize data models and processing workflows.

Requirements - At least three years of experience as a data analyst, analytics engineer, or in a similar role. - Advanced SQL, including complex joins, common table expressions, window functions, and query optimization. - Hands-on PySpark experience and experience working with large datasets. - Strong analytical and problem-solving skills, including translating business questions into data-driven insights. - Ability to work independently in a fast-paced environment. - Fluency in Polish and English; EU work eligibility and a valid work permit are required.

Nice to have - Digital marketing analytics experience, especially with acquisition, retention, campaign performance, conversion funnels, or customer lifetime value. - Databricks, Delta Lake, or lakehouse experience; familiarity with data modeling or Power BI. - Experience working in agile teams.