Power BI Analytics Specialist – AI-Driven Insights

Wallenius Wilhelmsen Ocean AS (Norway); Bærum; On-site; NOK 750,000 - 1,100,000; Full time

Job summary

Wallenius Wilhelmsen in Lysaker, Norway, seeks a Data Analytics Specialist to turn complex data into actionable insights. You will lead Power BI dashboard development, collaborate with data engineers and business stakeholders, and drive AI-driven analytics initiatives in a global organisation.

The role focuses on building scalable data products, improving decision-making, and advancing analytics capabilities with automation. A strong background in BI and data modeling is essential.

Qualifications

• Strong hands-on Power BI experience including report development, data modelling, and DAX.
• 3+ years as Data Analyst or similar delivering analytics in cross-functional teams.
• Proficiency in SQL with relational databases, data modelling, and data warehousing concepts.
• Some programming experience (e.g., Python) and willingness to further develop those skills.
• Strong communication, curiosity, and ability to use AI tools critically and effectively.

Responsibilities

• Develop, maintain, and optimise Power BI dashboards, reports, and data models.
• Collaborate with data engineers, IT, and business stakeholders to deploy analytics solutions.
• Translate business needs into reliable, scalable data products and self-service reporting.
• Analyse data to identify patterns, trends, and opportunities for improvement.
• Use AI tools and automation to streamline analytical workflows and generate insights.

Skills

Power BI proficiency

Data analysis

Data modeling

DAX

SQL

Python

Education

Bachelor’s degree

Master’s preferred

Tools

Power BI

SQL

Python

dbt

GitHub

Microsoft Fabric

Job description

Wallenius Wilhelmsen in Lysaker, Norway, seeks a Data Analytics Specialist to turn complex data into actionable insights. You will lead Power BI dashboard development, collaborate with data engineers and business stakeholders, and drive AI-driven analytics initiatives in a global organisation.

The role focuses on building scalable data products, improving decision-making, and advancing analytics capabilities with automation. A strong background in BI and data modeling is essential.