Data Analyst

Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience and a team of 5,000 professionals across 16 countries. They specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products. In the CEE region, Xebia’s nearly 1,000 experts deliver modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, and others. They work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake.

• 3+ years of experience as Data Analyst, Analytics Engineer, or in a similar data-focused role.
• Advanced SQL skills including complex joins, CTEs, window functions, and query optimization.
• Hands-on experience with PySpark.
• Experience working with large-scale datasets.
• Strong analytical and problem-solving skills.
• Experience translating business questions into data-driven insights.
• Ability to work independently in a fast-paced environment.
• Fluent in Polish and English.

Nice to have:

• Experience in digital marketing analytics.
• Experience analyzing customer acquisition, retention, campaign performance, funnel conversion, and customer lifetime value (LTV).
• Experience with Databricks.
• Experience with Delta Lake or modern lakehouse architectures.
• Understanding of data modeling concepts.
• Familiarity with Power BI.
• Experience working in agile teams.

• Analyzing large datasets related to customer behavior, digital marketing campaigns, and business performance.
• Designing, developing, and maintaining analytical datasets using SQL and PySpark.
• Preparing and transforming data from multiple sources for reporting and advanced analytics.
• Collaborating closely with marketing analysts, business stakeholders, and data teams.
• Supporting campaign measurement, customer segmentation, funnel analysis, retention, churn, and ROI calculations.
• Ensuring data quality, consistency, and reliability across analytical outputs.
• Investigating data issues and proactively identifying opportunities for process improvement.
• Contributing to optimizing data models and data processing workflows.
• Supporting ad hoc analytical requests from business stakeholders.

Work from the European Union region and a work permit are required.