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GreenPowerMonitor, a DNV company
GreenPowerMonitor, a DNV company
51 – 200 Angajați
EnergieSaaSSecuritate cibernetică
GreenPowerMonitor, o companie DNV, dezvoltă soluții digitale pentru gestionarea, monitorizarea și controlul activelor de energie regenerabilă. Software-ul și sistemele sale instalate la fața locului sprijină proprietarii și administratorii de active care operează facilități solare, eoliene și de stocare a energiei la scară industrială, prin instrumente precum GPM Horizon, GPM SCADA și GPM PPC. Compania combină expertiza în domeniul energiei regenerabile, analiza operațională și măsuri de securitate cibernetică pentru a contribui la îmbunătățirea performanței centralelor, protejarea infrastructurii critice și maximizarea producției de energie. GreenPowerMonitor operează în peste 90 de țări și sprijină peste 7.500 de facilități, care reprezintă o capacitate de producție a energiei regenerabile de peste 80 de gigawați.
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Data Analyst, Energy Systems at GreenPowerMonitor (Hybrid, Norway)

Analyze complex energy systems data and turn it into Power BI dashboards and practical insights at GreenPowerMonitor, a DNV company. Help improve reporting, support stakeholder decisions, and advance AI adoption across Energy Systems.

NONorvegiaHibridNormă întreagăJuniorNivel mediuLimbă Obligatorie: englezăAnalist de date

Descriere

  • Analyze complex datasets to uncover trends, risks, patterns, and opportunities linked to business priorities
  • Create and manage Power BI dashboards and reports
  • Convert business questions into analytical methods, measures, and KPIs
  • Communicate findings to stakeholders in a clear, actionable way
  • Partner with business stakeholders, data engineers, product teams, and subject matter experts to refine analytical solutions
  • Support reporting workflows, data models, definitions, and self-service analytics
  • Identify and support relevant agent and agentic AI use cases across Energy Systems
  • Enable colleagues and leaders to make stronger data-informed decisions
  • Work with diverse, complex datasets in an international, knowledge-focused environment

Cerințe

  • 2–4 years of relevant experience as a Data Analyst, BI Analyst, Business Analyst, or in a comparable role
  • Bachelor’s or master’s degree in data analytics, economics, business, engineering, computer science, statistics, or a related field
  • Experience turning large, complex datasets into structured analyses, reports, or dashboards
  • Ability to translate business needs into data requirements, analytical questions, and usable outputs
  • Experience presenting insights to non-technical audiences through visualizations, clear storytelling, and concise recommendations
  • Hands-on proficiency with at least one leading business intelligence and visualization tool, preferably Power BI
  • Understanding of data modeling, dashboard design, report performance, and user-friendly visual analytics
  • Experience performing data quality checks and reconciliations, and documenting definitions, assumptions, and calculations
  • Experience using Excel for analysis and ad hoc business support
  • Experience extracting, transforming, and analyzing data from relational databases, data warehouses, or lakehouse environments
  • Curious mindset, structured approach, and confidence exploring data
  • Strong attention to detail and commitment to data quality, consistency, and reliability
  • Ability to collaborate effectively with technical and business colleagues
  • Clear communication skills and the ability to explain analytical findings simply and relevantly
  • Motivation to improve processes through simpler reporting, automation, and stronger insight delivery
  • Final candidates must complete background checks and meet statutory requirements in the countries where DNV operates.
  • benefits

Beneficii

  • Flexible working arrangements designed to support work-life balance
  • Access to facilities at the Høvik campus
  • Benefits aligned with Norwegian market practices
  • Pension plan
  • Insurance coverage
  • Annual vacation
  • Employee wellbeing initiatives
  • Professional development and knowledge-sharing opportunities
  • Opportunities to develop skills in analytics, business intelligence, stakeholder engagement, and modern data platforms

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