Data Analyst (BI)

TL;DR

Data Analyst (BI): Designing, building, and maintaining dashboards and reports to deliver business insights with an accent on SQL querying, data validation, and visualization best practices. Focus on optimizing the analytics experience, configuring row-level security, and exploring AI-powered reporting capabilities.

Location: Must be based in the European Union (EU) region and possess a valid work permit

Company

A global AI-first digital transformation and engineering partner specializing in AI, Data, and Cloud solutions.

What you will do

• Design, build, and maintain dashboards and reports that deliver meaningful business insights.
• Perform ad-hoc analyses, data validation, and troubleshooting using SQL.
• Collaborate with Analytics Engineers to ensure data models and data marts support reporting needs.
• Create intuitive data visualizations following BI and data visualization best practices.
• Configure and maintain row-level security and tenant-specific access within BI tools.
• Promote self-service analytics and explore AI-powered reporting capabilities.

Requirements

• 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 with a strong focus on usability and effective visualization.
• Understanding of row-level security and tenant-based access control.
• Ability to translate business reporting requirements into effective analytical solutions.
• Valid work permit for the European Union region.

Nice to have

• Experience connecting BI tools to lakehouse architectures using Amazon Athena, JDBC, or Apache Iceberg.
• Familiarity with self-service and embedded analytics solutions.
• Understanding of data models and data marts.
• Experience with Sigma (Input Tables, Sigma Tenants, warehouse-native analytics).
• Exposure to AI-powered or natural-language analytics solutions.

Hiring process

• CV review and HR introductory call.
• Technical interview.
• Client interview and final decision.