DATA ANALYST (F/M/D) | IGNITIS RENEWABLES

We are looking for a Data Analyst to join the Operations and Maintenance department at Ignitis Renewables. You will play a key role in quantifying asset performance and identifying trends to ensure responsible ownership. You’ll collaborate closely with Asset Supervisors, using Python and SQL to transform data into reliable dashboards and statistical analyses. If that speaks to you, we’d be happy to welcome you to our team!

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

• Using data to solve complex problems and find ways to improve asset performance, even when working with uncertain information
• Writing and maintaining the code and tools (using Python, SQL) that keep our data workflows organized and reliable
• Monitoring operational data to identify trends, detect anomalies, and highlight potential issues or opportunities related to asset performance
• Contributing to the team’s roadmap and analytical priorities by providing insights that support operational decision-making and long-term performance optimization
• Presenting analytical findings clearly through dashboards, reports, and discussions with stakeholders to support data-informed decisions
• Documenting analytical workflows, datasets, dashboards, and coding standards to ensure transparency, reproducibility, and knowledge sharing within the team

• A degree in a technical field such as data analytics, engineering, mathematics, or a related discipline, or equivalent experience working in a data-driven environment
• 2–5 years of experience in data analytics, delivering dashboards, reports, and analyses that support operational or business decision-making
• Strong proficiency in SQL and Python for data cleaning, statistical analysis, and extracting insights from complex datasets
• Practical experience with version control tools such as Git and GitLab to maintain organized, reproducible, and auditable code
• Experience building and maintaining Power BI dashboards connected to SQL databases to support operational and ad-hoc reporting
• Familiarity with collaboration tools such as Jira, Confluence, and Microsoft Teams for coordinating work and documenting analytical outputs
• High proficiency in English to clearly communicate analytical findings, write reports, and collaborate with international stakeholders
• Ability to work independently on recurring analytical tasks while applying statistical reasoning and creativity to solve new or complex problems

• 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 etc.
• Additional paid days for health improvement, short-term illness, volunteering, and accumulated work experience

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.