JUNIOR WIND ENERGY YIELD ASSESSMENT ANALYST (FMD) I IGNITIS RENEWABLES

We are currently looking for a new colleague to join the Wind Engineering team at Ignitis Renewables where youll contribute to energy yield assessments and wind farm layout optimisation for onshore wind projects helping to ensure reliable energy forecasts and project success through data-driven analysis. If that speaks to you wed be happy to welcome you to our team! 

Take YOUR part in #EnergySmart!

You will contribute to a green and secure energy ecosystem by: 

• Analyzing meteorological data (wind speed direction shear turbulence etc.) to develop accurate models for energy yield assessments
• Performing layout optimisation considering environmental constraints (e.g. bat/bird shadow and noise curtailments) and other constraints imposed by planning authorities transmission system operators and other relevant stakeholders
• Conducting wind resource and energy yield assessments (WRA/EYA) for onshore wind farms under development to estimate the potential annual energy production (AEP) under varying wind conditions and preparing technical notes or reports explaining the methodology and results
• Using industry-standard and internal tools to assess wind resource evaluate turbine layouts and estimate potential energy output
• Collaborating with engineers data analysts project developers and M&A teams to integrate energy yield insights into project design and financial models
• Ensuring compliance with relevant industry standards regulations environmental requirements and best practices for WRA and EYA
• Expanding your knowledge of wind resource assessment and EYA methodologies under the guidance of experienced team members.

Qualifications :

• An academic degree in engineering meteorology renewable energy physics or a related field
• Introductory knowledge of the energy sector preferably wind energy
• Basic understanding of wind physics and wind energy technology
• Familiarity with data processing and analysis methods and beginner-level experience in statistics
• Proficiency in MS Office especially Excel
• Analytical mindset with strong attention to detail effective communication skills and the ability to work independently and collaboratively in a dynamic team environment.

Would be an advantage:

• Exposure to wind measurement data analysis and wind energy modelling applications (e.g. WindPRO or similar)
• Experience with GIS tools or programming (e.g. Python).

Additional Information :

• To take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations
• International team that is working on dynamic renewable energy projects
• A hybrid work model (32) and flexible working hours
• Extensive learning and qualification enhancement programs
• Attention to physical and emotional health: wellness mentor initiatives and psychological support etc. 
• Additional paid days for health improvement short-term illness volunteering and accumulated work experience
• A package of additional benefits to choose from: pension accumulation health insurance or another benefit from the selectable benefits list in the MELP application.

Join a growing and increasingly international team of energy smart people united by a common purpose. We all play our part in creating a 100% green and secure energy ecosystem for current and future generations.

And the way to achieve this is certainly not to wait for the perfect moment. We believe that the power to act comes from the charge we bring to our work every day. United by purpose. Owning the challenge. Passion for reinvention. Pursuing excellence. These are our mindsets. Together they yield the energy that drives everything we do. The energy generated by our choices. If you are guided by the same mindsets we look forward to welcoming you to our team!

As we pursue our strategic goals to increase gender balance in Ignitis Group we are indicating f/m/d next to job titles meaning we welcome candidates of all genders female male or diverse.

Ignitis Group ensures equal opportunities. We welcome all applicants and do not discriminate against race religion gender sexual orientation or gender identity age disability or other personal traits unrelated to work obligations.

Remote Work :

No

Employment Type :

Full-time