Design, develop, and maintain conceptual, logical, and physical data models to support business intelligence, analytics, reporting, and AI/ML initiatives.
Analyze complex datasets using SQL, Python, and BI tools to identify trends, generate insights, validate data quality, and support data-driven business decisions.
Develop and optimize data models, data dictionaries, metadata, relationships, and ETL/ELT processes to ensure data consistency, accuracy, scalability, and accessibility.
Leverage AI/ML and Generative AI tools to automate data analysis, identify patterns and anomalies, generate SQL queries, and improve data profiling and reporting efficiency.
Collaborate with data engineers, data scientists, business stakeholders, and AI teams to prepare high-quality datasets for predictive analytics, machine learning models, and AI-powered business solutions.
