Data Analyst

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

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, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: 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 purposes, 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 identify opportunities for process improvement, contributing to optimizing data models and data processing workflows, supporting ad hoc analytical requests from business stakeholders. Your profile: 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, 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 Polish and English. Work from the European Union region and a work permit are required. Nice to have: experience in digital marketing analytics, experience analyzing: customer acquisition, customer retention, campaign performance, funnel conversion, 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. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision