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Wind Eya Senior Analyst
2 miesięcy temu
Do you want to contribute to projects that are changing the future of green energy generation across the Baltics? Ignitis Renewables is a part of Ignitis Group – a renewables-focused integrated utility. Our purpose is to create a 100% green and secure energy ecosystem for current and future generations.
Ignitis Renewables focuses on developing green generation and green flexibility technologies. By developing onshore and offshore wind, solar, battery and power-to-X technologies, the company is implementing Ignitis Group’s strategic priority to deliver 4–5 GW of installed green capacities by 2030.
www.ignitisrenewables.com
Job DescriptionWe are currently looking for a new colleague to join our growing team as a Wind EYA Senior Analyst at Ignitis Renewables. In this role, you will be responsible for conducting detailed energy yield assessments for onshore wind projects in the Baltic States and Poland, optimizing wind farm designs, and collaborating with interdisciplinary teams to ensure robust financial and operational outcomes. If you have strong analytical skills, practical knowledge of wind energy technology, and a passion for driving renewable energy projects, we’d be excited to welcome you to our team Possible locations Vilnius, Warsaw or Riga.
Take YOUR part in #EnergySmart
You will contribute to green and secure energy ecosystem creation by:
- Conducting energy yield assessments for onshore wind farms to estimate potential energy production
- Analyzing meteorological data to create accurate models for energy production forecasts
- Utilizing industry-standard software to simulate wind farm performance and evaluate turbine layouts
- Conducting sensitivity analysis to identify risks and uncertainties affecting energy output
- Preparing technical reports on energy yield evaluations and methodologies
- Suggesting optimizations to wind farm layouts to increase energy yield
- Validating energy production assumptions during the operating phase of projects
- Collaborating with teams to integrate energy yield assessments into project designs and financial models
- Supporting decision-making processes and ensuring compliance with industry standards and regulations.
- Degree in renewable energy, engineering, physics, meteorology, or a related field
- Expertise in Wind Energy Yield Assessment (EYA) with proficiency in WindPRO or similar software
- Strong data analysis, statistics, and problem-solving skills
- Experience in delivering high-quality reports and meeting deadlines
- Effective communication skills, attention to detail, and ability to work both independently and collaboratively
- Advanced in Excel with strong data analysis, statistics, and problem-solving skills
- Excellent proficiency in written and spoken English.
Would be an advantage:
- Knowledge of GIS and basic programming (Python, Matlab).
- 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 (3+2) and flexible working hours
- Extensive learning and qualification enhancement programs
- Attention to physical and emotional health: wellness mentor initiatives and psychological support, volleyball, and basketball teams, etc.
- 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.
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 is committed to a policy of equal employment opportunity and does not discriminate against race, religion, gender, sexual orientation or gender identity, age, disability or other personal traits unrelated to work obligations.
