Data Analyst: Insights & AI-Driven Dashboards

DNV Group; Oslo; Hybrid; NOK 650,000 - 850,000; Full time

Job summary

DNV Energy Systems in Oslo seeks a Data Analyst to turn large datasets into trusted analytics, dashboards, and visual stories that help stakeholders across the business make better decisions.

You will work hands-on with BI tools like Power BI (experience with Tableau or Qlik is valuable), translate business questions into measurable KPIs, and collaborate with data engineers, product teams, and subject matter experts to improve reporting, data models, and self-service analytics.

Qualifications

• 2–4 years of relevant experience.
• Hands-on with business intelligence tools and translating analytical findings into clear recommendations.
• Experience turning data into dashboards and data-driven insights.

Responsibilities

• Analyse large, complex datasets to identify trends, patterns, risks, and opportunities that support business priorities.
• Design, build, and maintain effective dashboards and reports using Power BI (Tableau, Qlik experience is valuable).
• Translate business questions into analytical approaches, define relevant measures and KPIs, and present findings clearly.
• Work closely with business stakeholders, data engineers, product teams, and subject matter experts to understand requirements and improve analytical solutions.
• Contribute to improving reporting processes, data models, data definitions, and self-service analytics capabilities.
• Engage in AI adoption initiatives to enhance analytics and decision support.

Skills

Power BI

Tableau

Qlik

SQL

Data visualization

Job description

DNV Energy Systems in Oslo seeks a Data Analyst to turn large datasets into trusted analytics, dashboards, and visual stories that help stakeholders across the business make better decisions.

You will work hands-on with BI tools like Power BI (experience with Tableau or Qlik is valuable), translate business questions into measurable KPIs, and collaborate with data engineers, product teams, and subject matter experts to improve reporting, data models, and self-service analytics.