Senior Data Modeler (Teradata OLAP)

Lead – Data Modeler (Teradata OLAP) Location: Noida (Client / Office Location – Vaishali) Work Mode: All 5 Days Work from Office Experience: 5–15 Years Role Summary We are looking for an experienced Data Modeler (Teradata OLAP) to lead enterprise-scale data modeling initiatives. The role demands strong expertise in OLAP data modeling, Teradata data warehouse design , and close collaboration with business, analytics, and ETL teams to deliver high-performance analytical solutions. Key Responsibilities: • Lead the development of complex data models for large-scale data warehousing projects using Teradata OLAP. • Collaborate closely with cross-functional teams including business stakeholders, analysts, and ETL developers to ensure seamless integration of data models into business processes. • Design and develop data warehouses that meet business requirements, leveraging Teradata's advanced analytics capabilities. • Develop and maintain detailed data models, ensuring data quality, integrity, and consistency across the enterprise. • Work closely with IT teams to integrate data models with existing systems and applications. • Provide expert-level guidance on OLAP data modeling best practices, data governance, and data quality to team members. • Stay up-to-date with industry trends, emerging technologies, and new tools in the field of data modeling and analytics. • Participate in project planning, estimation, and execution, ensuring timely delivery of high-quality results. • Mentor junior team members on data modeling best practices, OLAP design principles, and data governance. • Develop and maintain technical documentation for data models, including data dictionaries, data flow diagrams, and data quality reports. • Collaborate with stakeholders to identify business requirements and develop data models that meet those needs. • Ensure compliance with organizational standards, policies, and procedures related to data modeling and analytics. • Participate in continuous learning and professional development to stay current with industry trends and advancements in data modeling and analytics.