The successful candidate should be comfortable communicating technical topics to non-technical audiences, participating in client discussions and working independently while knowing when to involve other team members. Attention to quality, maintainability and user experience is essential.
The role is part of an international environment, with close collaboration across global teams, particularly in the US. It offers a high degree of autonomy and ownership, as well as opportunities to build strong partnerships across different locations and time zones. Occasional business travel to the US or other locations for meetings, conferences and similar business events may be part of the role, providing valuable opportunities for in-person collaboration and relationship building.
Technical Competencies
Strong working knowledge of Power BI Desktop.
Ability to design intuitive dashboards, effective visualizations and meaningful KPIs.
Experience creating, maintaining and optimizing DAX.
Working knowledge of Power BI Service, including publishing, refresh and content management.
Experience implementing and managing Row Level Security (RLS).
Knowledge of UX/UI principles applicable to dashboard and report design.
Strong SQL skills, including the ability to troubleshoot data.
Experience analyzing and transforming data from different source types.
Experience developing or maintaining ETL/ELT processes.
Good working knowledge of Power Query and the M language.
Ability to identify data anomalies, investigate root causes and resolve reporting errors.
Ability to document transformation logic, business rules and technical decisions clearly.
Experience using Tabular Editor for semantic model development and maintenance.
Working knowledge of Git and Azure DevOps practices for version control and team collaboration.
Experience working with Azure Analysis Services or comparable tabular semantic models.
Demonstrates foundational AI literacy by using approved AI tools for routine analytical and communication tasks, writing clear prompts, recognizing tool limits, staying curious and flexible as tools evolve.
Take ownership for the quality and reliability of AI-assisted work by reviewing outputs for accuracy, bias, and fit before using them.
Task Management
Ability to work independently and take ownership of assigned tasks and deliverables.
Ability to gather, challenge and refine requirements with business stakeholders.
Ability to collaborate with Data Engineers, Analysts, Product Owners and other BI professionals.
A solution-oriented mindset, with the ability to recommend improvements rather than only implement instructions.
Behavior and Communication
Clear and professional communication with end users and client stakeholders.
Strong attention to quality, accuracy and detail.
Ability to work effectively in an Agile environment.
Fluent spoken and written English, suitable for daily work with international teams and English-speaking clients.
What We Offer
Career Growth: We provide opportunities for promotion, supporting your professional development.
Empowered Environment: Experience a Scandinavian working style that emphasizes trust and empowerment.
Comprehensive Benefits: Enjoy 33 days of sick leave fully paid by the employer, a pension scheme (PPE), and a profit-sharing plan.
Health and Wellness: Access life insurance, a Medicover medical package, and a Multisport card or sport allowance.
Team Spirit: Join a team of professionals in a great atmosphere with social events and team-building activities.
Modern Workspace: Work in an attractive and modern office equipped with ergonomic furniture, with fruit and vegetables provided twice a week.
Flexibility: Work from home anywhere in Poland, with the DNV office in Gdynia as your head office.
DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.
What Is Required
Fluency in English is required, as the role involves daily collaboration with English-speaking colleagues and native speakers, including client stakeholders.
Professional degree in IT, analytics, computer science, engineering or related fields
Mandatory 2+ years professional experience (including internships) working with Microsoft Power BI and DAX, PowerQuery, Tabular data modelling, SQL
What Is Preferred
1+ years commercial experience on external (chargeable) projects/engagements a plus. This could include experience such as development, implementation, consulting, advisory, IT audit, or related
Experience developing Power BI Paginated Reports.
Experience using DAX Studio for analysis and performance optimization.
Experience with Azure Data Factory.
Experience with Databricks.
Python skills for basic data analysis, validation or automation.
Please send us your CV and Cover Letter in English.
Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.
