Senior Data Consultant for Private Sector Advisory
Lithuania
Civitta
Civitta bridges digital, management consultancy, public advisory, innovation, and funding internationally, serving clients across CEE, the Nordics, and Central Asia.
Ready to embark on a journey of opportunity? Join a team of 750+ employees in 21 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, uplifting, transparent, and diverse by our core organisational 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 Senior Data Consultant for Private Sector Advisory.
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 Senior Data Consultant for Private Sector Advisory.
You will:
- Design & Develop Power BI Dashboards: Craft dynamic, intuitive, and impactful Power BI dashboards that bring data to life, enabling clients to make informed, timely decisions with confidence;
- Lead Data Analytics Projects: Own end-to-end data analytics projects, from data extraction to analysis and insights delivery. Work closely with clients to understand their business challenges and deliver analytics solutions that provide tangible value;
- Build Advanced Models: Create a range of statistical and machine learning models - whether it’s customer segmentation, price optimization, churn prediction, or customer lifetime value. You’ll be instrumental in translating these models into real-world solutions that drive measurable results;
- Insightful Communication: Present findings and complex analyses in a clear, compelling way that’s tailored to both technical and non-technical stakeholders. Your ability to tell a story with data will be key to helping clients grasp the business impact of your work;
- Drive Strategic Recommendations: Go beyond just analyzing data - identify actionable insights and propose practical, data-driven recommendations that address clients' business objectives and pave the way for success.
Requirements:
- Bachelor’s or Master’s in Economics, Mathematics, Statistics, Data Science, or a related field;
- Advanced skills in statistical analysis and critical thinking, with a strong business-oriented approach;
- 1-3 years of experience with Power BI is required; intermediate SQL and Python skills are advantageous, and familiarity with KNIME is a plus;
- Fluent in English and Lithuanian with a proven ability to convey complex data insights to varied audiences;
- Detail-focused with a proactive approach to delivering high-value, actionable recommendations.
Benefits:
- We believe in the fast professional growth of our employees, so we offer performance and salary reviews twice a year;
- Internal and external training programs;
- Flexible working hours and locations;
- Health insurance;
- Monthly team & company events and Friday’s breakfast in the office;
- International offsite trips - every year we travel to a sunny location to spend time together with the whole team from all over Europe;
- Work with active and bright international teams.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Data Analytics Economics KNIME Machine Learning Market research Mathematics ML models Power BI Python Research SQL Statistics
Perks/benefits: Career development Flex hours Health care Startup environment Team events
Region:
Europe
Country:
Lithuania
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