Data Analyst

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.

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").

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

Recruitment Process:

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