Ignitis Renewables

Tech / AI / Software

DATAANALYST(F/M/D)

vilnius, vilnius, lithuania FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“DATA ANALYST (F/M/D) at Ignitis Renewables. Skills: Python, SQL, Power BI, data analysis, dashboarding. Using data to solve complex problems and find ways to improve asset performance. Writing and maintaining the code and tools (using Python, SQL) that keep our data workflows organized and reliable”

What You'll Achieve.

quantifying asset performance; identifying trends to ensure responsible ownership; deliver 4–5 GW of installed green capacities by 2030

Industry & Context.

Tech / AI / Software
Problems you'll solve

Using data to solve complex problems; applying statistical reasoning and creativity to solve new or complex problems

What They're Looking For.

Must Have

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, 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

What You'll Do.

Using data to solve complex problems and find ways to improve asset performance

Writing and maintaining the code and tools (using Python

SQL) that keep our data workflows organized and reliable

Monitoring operational data to identify trends

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

and discussions with stakeholders to support data-informed decisions

Documenting analytical workflows

and coding standards to ensure transparency

and knowledge sharing within the team

How You'll Work.

Team & Collaboration

Collaborate closely with Asset Supervisors; Presenting analytical findings clearly through dashboards, reports, and discussions with stakeholders; Familiarity with collaboration tools such as Jira, Confluence, and Microsoft Teams for coordinating work and documenting analytical outputs; collaborate with international stakeholders

Communication Scope

High proficiency in English to clearly communicate analytical findings, write reports, and collaborate with international stakeholders

Full Job Description

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](http://www.ignitisrenewables.com/) 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

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