About the Role
Unlock business value from data through expert analysis and modern cloud platforms.
We help global organizations drive strategic growth, informed by actionable insights and tailored solutions.
The Job
This is a senior position where you will lead data initiatives across countries, working directly with international clients and internal teams.
You'll be responsible for designing and implementing semantic and dimensional data models in Snowflake, enabling powerful insights in Power BI, and guiding customers on best practices.
Main Responsibilities
1. Lead customer-facing data projects (in English), serving as the main point of contact for analytics and modeling discussions.
2. Develop and implement complex data models in Snowflake, incorporating semantic and dimensional approaches.
3. Create and optimize Power BI datasets, including aggregations and performance tuning.
4. Write and review advanced SQL queries for analysis and validation.
5. Migrate business requirements into scalable data solutions and clear insights.
6. Advise customers on optimal data modeling, analytics, and BI strategies.
7. Collaborate with international teams to deliver end-to-end data projects.
8. Mentor junior analysts and engineers on modeling and BI practices.
Key Skills & Qualifications
1. Proven experience as a Senior Data Analyst/Data Modeler.
2. Strong expertise in Snowflake, dimensional modeling (Kimball/Inmon), and semantic layer design.
3. Advanced SQL skills for data transformation, analysis, and optimization.
4. Deep knowledge of Power BI, particularly aggregations, large models, and performance tuning.
5. Excellent communication skills in English (both written and spoken).
6. Strong business acumen — able to translate technical solutions into business value.
7. Experience leading client-facing projects across countries.
8. Bonus: knowledge of retail, e-commerce, or hospitality data.
Why Join This Opportunity?
1. Take a senior leadership role in international projects.
2. Be part of a fast-growing organization expanding across multiple regions.
3. Work directly with global clients and shape their data strategies.
4. Collaborative and flexible culture, with opportunities for career growth.
5. Exposure to cutting-edge cloud platforms: Snowflake, Azure, AWS, Power BI, Databricks.