Assistant Vice President

Role: Data Modeler Location: Gurgaon/Bangalore (5 days mandatory work from office) Type: Full-time Experience: 7+ years Key Responsibilities Design and maintain conceptual, logical, and physical data models Develop scalable dimensional for analytics and reporting Collaborate with data architects and engineers to align models with platform and architectural standards Translate business requirements into high-quality, reusable data structures Ensure data consistency, integrity, and performance across data layers Support impact analysis, data lineage, and metadata documentation Must-Have Skills 7+ years of experience in data modeling for large-scale data platforms Strong expertise in dimensional modeling, normalized and denormalized designs Good understanding of data architecture and ETL architecture Advanced SQL skills and deep understanding of analytical query patterns Experience working closely with data architects and engineering teams Strong understanding of data warehousing and analytics use cases Responsibilities for Internal Candidates Design and maintain conceptual, logical, and physical data models Develop scalable dimensional for analytics and reporting Collaborate with data architects and engineers to align models with platform and architectural standards Translate business requirements into high-quality, reusable data structures Ensure data consistency, integrity, and performance across data layers Support impact analysis, data lineage, and metadata documentation Qualifications for Internal Candidates 7+ years of experience in data modeling for large-scale data platforms Strong expertise in dimensional modeling, normalized and denormalized designs Good understanding of data architecture and ETL architecture Advanced SQL skills and deep understanding of analytical query patterns Experience working closely with data architects and engineering teams Strong understanding of data warehousing and analytics use cases Key Responsibilities Design and maintain conceptual, logical, and physical data models Develop scalable dimensional for analytics and reporting Collaborate with data architects and engineers to align models with platform and architectural standards Translate business requirements into high-quality, reusable data structures Ensure data consistency, integrity, and performance across data layers Support impact analysis, data lineage, and metadata documentation Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7+ years of experience in data modelling or data analysis.