Tech , Energy
Data Analyst – AI
- Full Time
- Norway
- 42030026
Join a forward-thinking energy company headquartered in Norway, dedicated to pushing the boundaries of sustainable energy solutions.
We are seeking a skilled Data Analyst, you will play a pivotal role in transforming data into actionable insights that drive key business decisions. You will collaborate with cross-functional teams to analyze large datasets, apply machine learning models, and provide AI-driven insights that optimize our energy solutions. Your work will directly contribute to advancing sustainability goals and improving energy efficiency across our operations.
Key Responsibilities:
- Analyze large, complex datasets to generate actionable insights that enhance energy efficiency, predictive maintenance, and operational optimization.
- Work closely with data scientists and AI engineers to apply machine learning algorithms and statistical models to solve energy-related challenges.
- Visualize data through dashboards, reports, and presentations, communicating findings to both technical and non-technical stakeholders.
- Assist in the design and implementation of AI-driven analytics tools to support decision-making and performance improvements.
- Monitor and evaluate the performance of AI models, suggesting improvements based on data analysis.
- Stay updated on industry trends in AI, machine learning, and data analytics, and propose innovative approaches to apply within the energy sector.
Skills & Qualifications:
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Strong experience in data analysis and working with large datasets, ideally within the energy sector.
- Proficiency in data analysis tools such as Python, R, SQL, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong skills in data visualization tools like Power BI, Tableau, or similar platforms.
- Experience working with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is a plus.
- Strong problem-solving skills, with the ability to derive insights from complex data sets.
- Excellent communication skills, with the ability to present findings to both technical and non-technical stakeholders.
If of interest, please send your CV to logan.kelly@peglobal.co.uk