Data Analyst

Are you passionate about transforming data into actionable insights? We're looking for a Data Analyst to join our growing team. In this role, you'll be responsible for collecting, cleaning, analyzing, and visualizing data to inform critical business decisions.

Even if this specific role doesn’t seem like a 100% match for your skills and experience, we still encourage you to apply! We’re seeking passionate individuals with diverse backgrounds to join our growing team. We’re building exciting new areas within the company, and your unique skills could be a perfect match.

WHAT YOU WILL DO:

  • Extract, transform, and load (ETL) data from various sources;
  • Cleanse and prepare data for analysis;
  • Perform statistical analysis and modeling;
  • Create compelling data visualizations using tools like Tableau;
  • Communicate findings and recommendations to stakeholders across the organization;
  • Develop and maintain data pipelines and reporting processes.

WHAT WE EXPECT:

  • Proven experience in Data analysis;
  • Proven experience with SQL and data manipulation techniques;
  • Experience with data visualization tools (e.g., Tableau, Power BI);
  • Strong analytical and problem-solving skills;
  • Excellent communication and presentation skills;
  • Bonus points for:Experience with Python, R, or other programming languages
  • Bonus points for:Experience with cloud platforms (e.g., AWS, Azure, GCP)

WE OFFER:

  • Salary range: 2800 Eur (Gross) according to qualifications;
  • Work in a collaborative, dynamic & experienced team;
  • Flexible working hours (it’s about how much you do, not how long);
  • The annual budget for learning with access to external mentors, learning materials, and international conferences;
  • Time for self-training during work hours;
  • Team buildings;
  • Free fruits, snacks, and coffee.
  • New Apple MacBook;
  • Modern office in Vilnius city center (shower, kitchen, VR & other games, international environment).

Can you see yourself on our team? Drop us your CV!

Apply Now

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