Production Data Analyst

Vilnius, Lithuania

Job Description

We create powerful, beautiful and intuitive digital products. We don't blindly follow trends. We take our understanding of the latest technologies and build the best solutions for our enterprise clients. We’re big believers in collaboration across engineering, UX and product teams. We combine our individual expertise to solve complex challenges.

We seek team members who care about results and are not afraid of taking ownership.

Main responsibilities:

  • Analyze financial and production performance data

  • Find patterns, develop reports, and provide insights based on analysis to the management

  • Participation in yearly planning and quarterly forecasting processes


  • Background in finance/mathematics/statistics or experience working in a similar field

  • Professional skills on MS Excel

  • Working level knowledge of SQL. PowerBI knowledge – advantage.

  • Has good analytical skills and is able to work with minimal guidance

  • Has an understanding of advanced analytics and seeks to learn more

  • Fluent communication in English


  • A digital products focused company with a variety of challenging engagements with upper mid-market and Fortune organizations

  • A chance to work with the top talent professionals and award-winning teams across different countries

  • Trips to our other offices and clients' sites

  • Opportunities to grow your competencies: self-learning days, training, sponsored participation in professional improvement events, etc.

  • 2 additional vacation days

  • Private health insurance and psychologist consultations

  • Great team-building events and out-of-office activities

  • Sports activities including gym benefit and sponsored participation in sports events.

  • Competitive salary and performance-based bonuses

Salary range for this position is from 2300 EUR to 3000 EUR gross before taxes. *

*Salary offer for the candidate is determined based on the predefined salary ranges for the position and depends on the level of competence and experience of the candidate.