Energy Data Analyst: Turn Data into Impact with Power BI

DNV; Høvik; Hybrid; NOK 650,000 - 900,000; Full time

Benefits offered by this job

Pension

Insurance

Annual vacation

Flexible working arrangements

Høvik campus facilities

Wellbeing initiatives

Job summary

DNV Energy Systems in Oslo is seeking a Data Analyst to analyze large datasets, build dashboards, and support data-driven decisions and AI adoption across regions. The role emphasizes turning complex data into actionable insights and collaborating with cross‑functional teams.

You will transform data into trusted analytics, create visual stories for stakeholders, and contribute to data quality and self‑service analytics initiatives.

Qualifications

• 2–4 years of relevant experience as a Data Analyst, BI Analyst, or similar role.
• Bachelor’s or master’s degree in a quantitative or business field.
• Experience building dashboards with Power BI (or Tableau/Qlik).
• Strong Excel skills; knowledge of Python, R, Power Query, or DAX is a plus.
• Experience with relational databases, data warehouses, or lakehouse environments.

Responsibilities

• Analyse large, complex datasets to identify trends and opportunities that support business priorities.
• Design, build, and maintain dashboards and reports using Power BI (or Tableau/Qlik).
• Translate business questions into analytical approaches and define relevant KPIs.
• Collaborate with stakeholders, data engineers, and product teams to improve analytics solutions.
• Contribute to data quality, data models, and self‑service analytics initiatives, including AI adoption.

Skills

Data analysis

BI reporting

Stakeholder communication

Education

Bachelor's or Master's degree in a relevant field

Tools

Power BI

Tableau

Qlik

Excel

Python

R

Power Query

DAX

Job description

DNV Energy Systems in Oslo is seeking a Data Analyst to analyze large datasets, build dashboards, and support data-driven decisions and AI adoption across regions. The role emphasizes turning complex data into actionable insights and collaborating with cross‑functional teams.

You will transform data into trusted analytics, create visual stories for stakeholders, and contribute to data quality and self‑service analytics initiatives.