Role Overview
Collaborate with multi-national teams, contribute to innovative projects, and continuously learn and grow in a dynamic and inclusive culture.
What You Will Do
Transform data into trusted, business-ready insights, design scalable data models, develop reliable data transformation processes, and optimize Power BI reports and dashboards.
Why It Might Be a Fit
You will be a key contributor in our digital transformation journey, helping migrate and modernize our analytics landscape, and ensuring stakeholders have access to reliable, actionable information.
Requirements
- Bachelor’s degree in a data-, analytics-, or technology-related field, or equivalent practical experience
- 3+ years of experience in Business Intelligence, Analytics Engineering, Data Analytics, or Data Engineering
- Expertise in building and maintaining data models using dbt
- Proficiency in Power BI, including advanced DAX, data modeling, performance optimization, and dashboard design
- Proficiency in SQL, with the ability to transform complex business requirements into efficient and maintainable data models
- Experience with Databricks and cloud-based data platforms, preferably within Microsoft Azure
- Familiarity with Python for data processing, automation, and supporting data engineering activities when needed
- Excellent English communication skills, with the ability to explain technical concepts and findings to non-technical stakeholders
Benefits
- Full access to cutting-edge tools and technologies
- Competitive compensation depending on experience and skills
- All-around Social package: professional & soft skills training, medical & family care programs, sports
- Relocation opportunities
- Free English classes
- Unlimited access to LinkedIn learning solutions
- Continuous experience exchange with experts and professionals worldwide
- Friendly team and comfortable working environment
- Engineering, corporate, and social events within and outside the Company
- Flexible working schedule
- Opportunities for self-realization
To apply for this job please visit linkedin.com.
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