The Data Modeler designs, implements, and documents scalable data architecture and modeling solutions, including relational, dimensional, and semantic data models, deployed across on-premises and cloud environments. These solutions enable trusted, high-performance self-service analytics, enterprise business intelligence, and advanced use cases such as AI and machine learning.
The role ensures data structures are intuitive, governed, and optimized to empower business users while supporting the next generation of AI-driven tools and insights.

• Collaborate with business and technical teams to define data strategies and build conceptual, logical, and physical data models across platforms.
• Lead and govern enterprise data modeling standards, tools, and best practices.
• Proactively drive data design decisions, identifying risks and resolving issues to support successful delivery.
• Ensure data quality, accuracy, and alignment between the Data Warehouse and Power BI semantic models.
• Maintain clear, up-to-date solution and data documentation.
• Provide technical guidance and mentorship while supporting multiple analytics solutions in a fast-paced environment.

Basic Qualifications Required - Experience, Skills, and Knowledge

• Strong experience with SQL for data analysis and ad-hoc querying (6+ years).

• Hands-on experience with the Power BI platform (4+ years).

• Solid knowledge of data modeling, including relational and dimensional models.

• Good understanding of data warehousing and analytics concepts.

• Experience supporting self-service business intelligence solutions.

• Strong analytical and problem-solving skills.

• Ability to document requirements and solutions clearly.

• Comfortable working independently in a remote or hybrid environment.

• Professional proficiency in English (C1 level or equivalent).

Preferred Experience

• Experience with Agile methodologies.
• Microsoft Fabrics
• Experience mentoring and collaborating with team members to deliver high-quality analytics solutions.