Data Analytics Specialist

Wallenius Wilhelmsen; Oslo fylke; In loco; NOK 900.000 - 1.300.000; Tempo pieno

Descrizione del lavoro

Wallenius Wilhelmsen is seeking a Data Analytics Specialist to turn complex data into actionable insights. You will build Power BI dashboards and data products, collaborating with data engineers, IT, and business stakeholders to deliver reliable analytics across Marine Operations, Commercial, and Logistics.

Join a global shipping and logistics leader focusing on AI-driven analytics, automation, and self-service reporting.

Competenze

• Strong hands-on Power BI expertise with data modelling and DAX.
• 3+ years in Data Analyst or similar role delivering analytics in cross-functional teams.
• Proficiency in SQL and data warehouse concepts.
• Bachelor’s degree, preferably Master’s, in engineering, statistics, technology, or related field.
• Some programming experience (Python) and eagerness to develop further.
• Strong communication and problem-solving mindset, with an interest in AI.

Mansioni

• Develop, maintain, and optimise Power BI dashboards and data models across business units.
• Translate business requirements into reliable data products and self-service reporting.
• Analyse data to identify patterns and opportunities to improve performance.
• Collaborate with data engineers, IT, and stakeholders to deploy analytics solutions.
• Explore AI tools to streamline workflows and derive insights.

Conoscenze

Power BI

SQL

Python

Data modelling

DAX

Cross-functional collaboration

Communication

Formazione

Bachelor's degree in engineering, statistics, technology or related field

Master's degree preferred

Strumenti

Microsoft Fabric

GitHub

dbt

Descrizione del lavoro

Build powerful BI solutions. Turn complex data into clear business insights.

Are you passionate about data, technology, and solving problems?

As our Data Analytics Specialist, you’ll be a hands‑on technical expert with a strong focus on Power BI, helping our global organisation turn data into actionable insights. Working with data engineers, analysts, and business stakeholders, you’ll investigate business challenges, uncover the drivers behind performance, and identify opportunities to improve decision‑making. You’ll also help advance our analytics capabilities through AI and automation.

What You’ll Do

You’ll develop BI solutions that help our teams across Marine Operations, Commercial, and Logistics understand performance, identify opportunities, and make informed decisions. Combining technical expertise with analytical thinking and business understanding, you’ll translate complex questions into practical solutions.

• Develop, maintain, and optimise Power BI dashboards, interactive and paginated reports, and data models.
• Translate business requirements into reliable, scalable data products, including well‑structured data models and self‑service reporting solutions.
• Analyse data to identify patterns, trends, and deviations, investigate business performance, and pinpoint opportunities for improvement.
• Collaborate with data engineers, IT, and business stakeholders to deploy and monitor analytics solutions, share knowledge, and support data‑driven ways of working.
• Use AI tools and automation to streamline analytical workflows and generate deeper insights, critically evaluating their accuracy and business value.

What You’ll Bring

You’re a technically strong and curious person with a solid foundation in BI and data analysis. You enjoy understanding how things work, solving problems, and building reliable solutions that create business value. With a strong drive to learn and improve, you’re eager to deepen your skills in advanced analytics, programming, and AI, and turn new knowledge into practical solutions.

• Strong hands‑on Power BI expertise, including report development, data modelling, and DAX.
• At least 3 years of experience as a Data Analyst or in a similar role, delivering analytics solutions in cross‑functional teams.
• Proficiency in SQL, with experience in relational databases, data modelling, and data warehouse concepts.
• A bachelor’s degree, preferably a master’s, in engineering, statistics, technology, optimisation, business, or another quantitative field.
• Some programming experience, for example in Python, and an interest in developing these skills further.
• Strong communication skills, a curious and improvement‑oriented mindset, and an interest in using AI tools critically and effectively.

Experience with maritime or shipping data, Microsoft Fabric, GitHub, or dbt is an advantage.

What We Offer

Join us at our headquarters in Lysaker, Norway, and help shape how data and analytics create value across a global organisation. You’ll have the opportunity to build impactful BI solutions, explore emerging technologies, and contribute to our journey towards smarter, more automated, and advanced analytics.

Who We Are

At Wallenius Wilhelmsen, you'll join a global leader in shipping and logistics with more than 9,000 colleagues across 28 countries. Together, we help move vehicles, equipment, and goods around the world through innovative and sustainable solutions. Our ambition is to lead the way in transforming shipping and logistics.

Our success is built on our people. Rooted in a strong safety culture and guided by our values – We Care, We Challenge, We Commit – we create an environment where people can grow, contribute, and perform at their best. As a global company listed on the Oslo Stock Exchange, we offer international opportunities within a collaborative and values-driven culture.

Our Commitment to Equal Opportunities and an Inclusive Workplace

At Wallenius Wilhelmsen, our people are fundamental to our success. We believe in the power of bringing people together and value the unique experiences, skills, and perspectives every individual brings. These differences strengthen our ability to support our customers, drive innovation, and succeed as a global organisation. By fostering an inclusive culture where everyone feels valued and empowered to contribute, we create better outcomes for our people, our customers, and our business.