Data Analyst

Description

The company is a global partner in AI-first digital transformation and engineering, with over 25 years of experience, around 5,000 staff and presence in 16 countries. It designs and builds scalable products, platforms and data-driven solutions.

The company works in Artificial Intelligence, Data and Cloud, Intelligent Automation and Digital Products, with a strong engineering focus and a people-first approach.

The CEE team has nearly 1,000 specialists building applications, data platforms and AI solutions for large clients across banking, telecoms, retail, logistics and transport. Its stack includes AWS, Azure, GCP, Databricks and Snowflake, and it combines engineering depth with a consulting approach and an emphasis on growth and knowledge sharing.

Responsibilities

• Analyze large datasets on customer behavior, digital marketing campaigns and business performance.
• Build and maintain analytical datasets with SQL and PySpark.
• Prepare and transform data from several sources for reporting and advanced analytics.
• Work closely with marketing analysts, business stakeholders and data teams.
• Support campaign measurement, customer segmentation, funnel analysis, retention, churn and ROI calculations.
• Keep analytical outputs accurate, consistent and reliable.
• Investigate data issues and suggest process improvements.
• Help refine data models and data processing workflows.
• Handle ad hoc analysis requests from business stakeholders.

Requirements

• Have 3+ years of experience as a Data Analyst, Analytics Engineer or in a similar data-focused role.
• Be advanced in SQL, including complex joins, CTEs, window functions and query optimization.
• Have hands-on experience with PySpark.
• Have worked with large-scale datasets.
• Show strong analytical and problem-solving skills.
• Be able to turn business questions into data-driven insights.
• Work independently in a fast-moving environment.
• Speak Polish and English fluently.
• Have experience in digital marketing analytics.
• Have analyzed customer acquisition, customer retention, campaign performance, funnel conversion and customer lifetime value (LTV).
• Have worked with Databricks.
• Have worked with Delta Lake or modern lakehouse architectures.
• Understand data modeling concepts.
• Be familiar with Power BI.
• Have worked in agile teams.
• Work from the European Union region. A work permit is required.

Conditions

Work from the European Union region.

A work permit is required.

The hiring process runs in five steps: CV review, HR call, interview, client interview, decision.