GreenPowerMonitor, a DNV company
GreenPowerMonitor, a DNV company
DNV компаниясына қарайтын GreenPowerMonitor жаңартылатын энергия активтерін басқаруға, бақылауға және реттеуге арналған цифрлық шешімдер әзірлейді. Оның бағдарламалық жасақтамасы мен нысан аумағында орнатылатын жүйелері GPM Horizon, GPM SCADA және GPM PPC сияқты құралдар арқылы өнеркәсіптік ауқымдағы күн, жел және энергия сақтау нысандарын басқаратын актив иелері мен менеджерлеріне қолдау көрсетеді. Компания жаңартылатын энергия саласындағы сараптаманы, операциялық аналитиканы және киберқауіпсіздік шараларын біріктіріп, электр станцияларының тиімділігін арттыруға, аса маңызды инфрақұрылымды қорғауға және энергия өндіру көлемін барынша көбейтуге көмектеседі. GreenPowerMonitor 90-нан астам елде жұмыс істейді және жалпы қуаты 80 гигаваттан асатын жаңартылатын энергия нысандарының 7 500-ден астамына қолдау көрсетеді.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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