Energy Data Analyst

vor 1 Tag

Baar, Zug, Schweiz enshift AG Vollzeit

Who we are

Drive the energy transition by providing sustainable technological solutions through our digital platform, facilitating from planning to contract tendering to implementation of renewable energy systems in real estate and industrial companies. We enable our customers to increase the economic efficiency and CO2 balance of their properties while minimizing technical, commercial, and energy risks.

Role activities

  • Analyze energy data, including production, consumption, and storage information to identify optimization opportunities
  • Conduct AI-based market analyses and contribute to the development of price and energy forecasts
  • Analyze plant data, project progress and operational as well as financial performance
  • Perform trend, variance and deviation analyses, translating findings into actionable recommendations
  • Validate data quality and perform plausibility checks to continuously improve analytical outputs
  • Develop and maintain a central data and reporting infrastructure in close collaboration with IT teams
  • Create KPI reports, dashboards, and data visualizations for internal and external stakeholders
  • Collaborate closely with management, operations, sales, and country organizations to support data-driven decision-making

Ideal candidate

If you see yourself in several of the points below, we encourage you to apply:

  • Completed degree in Data Science, Mathematics, Statistics, Business Informatics, Physics, Industrial Engineering or a related field.
  • 2–4 years of experience as a Data Analyst, ideally within an energy sector
  • Proven experience in designing and building purpose-driven analytical environments
  • Experienced in building data pipelines, including data extraction, validation, transformation and loading
  • Practical experience working with modern cloud data infrastructures such as BigQuery, Snowflake, Redshift, or Databricks
  • Ideally, experience applying and training AI models and machine learning algorithms
  • High level of proficiency in SQL and solid experience with Python, R, MATLAB or comparable programming languages

What we offer you

  • An attractive salary package and exciting development opportunities
  • Further training in renewable energies and project management
  • A dynamic, innovative environment with short decision-making processes and plenty of creative freedom
  • The opportunity to play an active role in the energy transition and make a real impact

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