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% secure and green 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 looking for a Data Analyst to join the Operations & Maintenance and Asset Management 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!
Take YOUR part in #EnergySmart!
You will contribute to secure and green 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% secure and green 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 % secure and green 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.
Skills Required
- Degree in data analytics, engineering, mathematics, or a related technical field, or equivalent data-driven work experience
- 2-5 years of experience in data analytics, including dashboards, reports, and operational or business analyses
- Strong proficiency in SQL and Python for data cleaning, statistical analysis, and extracting insights
- Experience with version control tools such as Git and GitLab
- Experience building and maintaining Power BI dashboards connected to SQL databases
- Familiarity with Jira, Confluence, and Microsoft Teams
- High proficiency in English
- Ability to work independently and apply statistical reasoning and creativity to complex problems
What We Do
Ignitis Group is a renewables-focused integrated utility. The group’s core activities include power and heat production and supply, power and natural gas trading and distribution, and power system maintenance and development. The development of green energy is a priority for Ignitis Group with an aim to become the region’s main competence center for new energy and a leader in distributed energy solutions in the Baltic Sea region and beyond. Group companies operate in Lithuania, Latvia, Estonia, Poland and Finland. Group innovation fund invests in energy startups in the UK, Norway and France.
