Data Analyst | Digital & Data

Join Civitta - an international company with 750+ colleagues across 20+ countries. We focus on management consulting, funding, and digital solutions. Originating from Central and Eastern Europe, we also deliver projects across Central Asia, the Middle East, and the United States.

Help businesses turn strategy into digital solutions: from AI-powered marketing to data-driven products and custom software. We combine business thinking with technical execution. Every day, you might build an e-commerce platform using predictive analytics, design a high-impact digital campaign, or develop a data-driven product that drives measurable results.

Take the step towards your journey with us and join us as a Data Analyst in Lithuania, or any other EU location.

You will:

• Build and maintain databases: Work with SQL databases, design simple data models, and keep data structured, accurate, and reliable.
• Support data engineering tasks: Assist with light ETL work, including connecting to APIs, cleaning and transforming data, and preparing it for reporting.
• Analyze data: Explore datasets to answer business questions, spot trends, and support decision-making across client projects.
• Design and develop Power BI dashboards: Create dynamic, user-friendly dashboards that tell the story behind the data and help clients make confident decisions.
• Communicate insights clearly: Present findings in a way that both technical and non-technical audiences can understand.
• Collaborate with the team: Work closely with senior data experts and consultants, learning from them while contributing your own ideas.

Requirements:

• Bachelor’s or Master’s degree in Economics, Mathematics, Statistics, Data Science, or a related field.
• 1-3 years of hands-on experience with Power BI, including Power Query, DAX, and data modeling.
• SQL skills.
• Basic understanding of data engineering concepts, including ETL, APIs, and data pipelines.
• Fluency in English; Lithuanian is a plus.
• A proactive mindset, curiosity, and attention to detail.
• Nice to have: Knowledge of Python or R.

The role can be shaped around your strengths, whether you’re more technical, more business-oriented, or looking to grow in both areas. If you love working with data and want to develop your skills in a supportive, flexible environment, we’d love to hear from you!

Benefits:

• Professional Growth - We support your career development, offering performance and salary reviews once a year to ensure your progress is recognized and rewarded;
• Flexible Working Hours - Manage your workday with flexibility and the option to work from home when needed, while enjoying our city-centre office as a convenient, collaborative workspace;
• Culture & Connection - From team bonding activities like Christmas parties and summer events to spontaneous celebrations, monthly breakfasts, or team lunches, we celebrate wins-big or small-together;
• Gifts Programme - Welcome boxes, birthday surprises, and holiday cheer ensure your special moments are always recognized.