BI Analyst: Power BI & Data Innovation

DFDS; Poznań; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Private medical care (Luxmed)

MyBenefit/Multisport

Multi.life platform

Growth & development: internal courses

Job summary

DFDS is seeking a BI Analyst in Technology & Innovation to translate raw data into insightful reports and data models that directly influence decision-making. You will work with Data Engineers and Data Consultants in a cross-functional, international team to support stakeholders across the organization.

The role focuses on building scalable Power BI solutions, semantic models, and effective data storytelling while maintaining data accuracy and governance.

Qualifications

• 3+ years in BI, reporting, or analytics.
• Experience delivering Power BI solutions used by business stakeholders.
• Experience working with business users to define reporting requirements.

Responsibilities

• Design, develop, and maintain Power BI reports and dashboards.
• Build and optimize semantic models to support self-service analytics.
• Collaborate with stakeholders to understand KPI requirements and translate them into reports.
• Ensure data accuracy and adherence to reporting standards.
• Improve reporting processes, data models, and user adoption.
• Work with data engineers to enhance data availability and quality.
• Guide end users on leveraging reporting assets effectively.
• Support data queries through the TopDesk system.

Skills

Power BI development

SQL

Semantic models

DAX

Requirements gathering

Reporting best practices

Effective communication

Tools

Power BI

Microsoft Fabric

TopDesk

Job description

DFDS is seeking a BI Analyst in Technology & Innovation to translate raw data into insightful reports and data models that directly influence decision-making. You will work with Data Engineers and Data Consultants in a cross-functional, international team to support stakeholders across the organization.

The role focuses on building scalable Power BI solutions, semantic models, and effective data storytelling while maintaining data accuracy and governance.