Data/BI Analyst for Private Sector Advisory

Ready to embark on a journey of opportunity? Join a team of 750+ employees in 20+ countries in the first consultancy originating from CEE. We bring together digital and advisory as an international collaboratory where every talent can shine, every employee can become a partner, and every partner can become a shareholder. We are explorers at heart, powered by diversity, passionate for growth and united by integrity by our core organizational values.
Seeking the thrill of solving complex business puzzles? Look no further! Our private sector team is fueled by smart and talented people who tackle challenges head-on. We are driven by the significant impact we have on our clients’ work, and we love giving our best on growth projects for them, whether they are related to strategy, international expansion, M&A, transformation, market research, or data. Join our ambitious team, and let's grow together with our clients!
Take the step towards your journey with us and join us as a Data/BI Analyst for Private Sector Advisory in Lithuania.

You will:

• Design & Develop Power BI Dashboards: Create dynamic, user-friendly dashboards that bring data to life in Power BI, enabling clients to make confident, data-driven decisions. Our dashboards are not only about line charts and tables - they are about telling the story;
• Develop Data Architecture for Power BI: Build end-to-end data pipelines optimized for Power BI—connecting to SQL/APIs, designing ETL workflows, and developing data warehouses to ensure seamless reporting. Ensure seamless automation;
• Lead Data Analytics Projects: Manage end-to-end analytics initiatives, from data extraction to delivering insights, aligning closely with client needs to drive business value;
• Insightful Communication: Present clear, compelling insights tailored to both technical and non-technical audiences, turning data into a powerful narrative;
• Build Advanced Models: Develop machine learning and statistical models for real-world use cases like segmentation, churn prediction, and price optimization, delivering measurable impact.

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, data modeling, publishing models, maintaining workspaces, and automating reports in various environments;
• Intermediate SQL is required; Python skills are a plus. Familiarity with KNIME is also beneficial;
• Fluent in English and Lithuanian, with a proven ability to communicate complex data insights to diverse audiences;
• Detail-oriented with a proactive mindset and a focus on delivering high-value, actionable recommendations;
• Nice to have: statistical analysis and data science skills, with a business-oriented approach.

Benefits:

• We believe in fast professional growth of our employees, so we offer performance and salary reviews twice a year;
• Regular training sessions and experience sharing sessions;
• International offsite trips - every year we travel to a foreign location to spend time together with the whole team from all over Europe;
• Flexible working hours and location - we trust you to manage your time and choose where to work from;
• Team building activities - we like finding new and creative ways to celebrate life together.