Energy Data Analyst

Category: Project Management & Agile

Location:Bagsværd, Capital Region of Denmark, DK

• Collection of data from various sources, including energy production, transmission and consumption. Also included is simulation data and data from predictive models.
• Supporting the development of a data platform to create predictive models for training purposes, registration and simulations.
• Communicating energy data with project manager and the business to ensure meaningful and smart solutions. This could be data reports, presentations or the use of dynamic dashboards and predictive models.
• Structured approach to maintaining and documenting data pipelines and products across platforms and businesses/projects – often in collaboration with external partners.
• Suply your knowledge and competencies to strategic and business development activities that are supported by energy data.

• A degree in data science or engineering, focused on energy data.
• Prior experience working with energy data management from a previous position.
• Good insights into the energy sector as a whole and view new technologies as a solution to current problems.
• Experience in data analysis and predictive models, ideally using Python, and have worked with and are an experienced user of Energy Pro, Termis or Aquis and preferably also Power Bi.