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, 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 McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, 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:

• designing, building, and maintaining dashboards and reports that deliver meaningful business insights,
• performing ad-hoc analyses, data validation, and troubleshooting using SQL,
• collaborating with Analytics Engineers to ensure data models and data marts effectively support reporting and analytical needs,
• creating intuitive data visualizations following BI and data visualization best practices,
• configuring and maintaining row-level security and tenant-specific access within BI tools,
• enabling and promoting self-service analytics across the organization,
• working with modern data platforms to improve reporting standards and the overall analytics experience,
• exploring new approaches to analytics, including embedded analytics and AI-powered reporting capabilities.

Your profile:

• strong SQL skills for querying, validating, and analyzing data, 
• hands-on experience with modern BI platforms such as Amazon QuickSight, Sigma, Looker, or Power BI, 
• experience designing dashboards and reports with a strong focus on usability and effective data visualization, 
• good understanding of row-level security and tenant-based access control within BI solutions, 
• ability to work closely with both technical and business stakeholders to translate reporting requirements into effective analytical solutions.

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

Nice to have:

• experience connecting BI tools to a lakehouse architecture using Amazon Athena, JDBC, or Apache Iceberg,
• familiarity with self-service analytics and embedded analytics solutions,
• understanding of data models and data marts, allowing effective collaboration with Analytics Engineers,
• experience with Sigma (Input Tables, Sigma Tenants, warehouse-native analytics),
• exposure to AI-powered or natural-language analytics solutions (“talk to your data”).

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision