Data Analyst (F/M/D)

Hybrid Full TimeKaunas, Kaunas County, LithuaniaIgnitis Group

Role Overview

Ignitis Renewables is looking for a Data Analyst to join the Operations & Maintenance and Asset Management department. The role involves quantifying asset performance, identifying trends, and ensuring responsible ownership. The Data Analyst will collaborate closely with Asset Supervisors, using Python and SQL to transform data into reliable dashboards and statistical analyses.

What You Will Do

The Data Analyst will use data to solve complex problems, write and maintain code, monitor operational data, contribute to the team’s roadmap, and present analytical findings clearly.

Why It Might Be a Fit

The ideal candidate will have a degree in a technical field, 2-5 years of experience in data analytics, and strong proficiency in SQL and Python. The role offers a hybrid work model, flexible working hours, and extensive learning and qualification enhancement programs.

Requirements

  • 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

Benefits

  • 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

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