Design and implement robust data models, integrations, and ETL processes to support enterprise reporting and analytics.
Develop and maintain data warehouses, datasets, and APIs connecting ERP, CRM, e-commerce, and marketing automation systems.
Optimize SQL queries, stored procedures, and data pipelines for performance, scalability, and reliability.
Collaborate within the IT team to maintain data environments in both on-prem and cloud infrastructure.
Implement automation and monitoring to ensure reliability of data flows and scheduled refreshes.
Build, deploy, and support BI dashboards and reports using Power BI, Tableau, or similar platforms.
Integrate AI-enabled analytics capabilities such as natural-language querying, automated report generation, and GenAI-assisted data visualization.
Use automation and AI tools to streamline the report distribution process, including scheduling, alerting, and personalized data summaries.
Partner with business users to define requirements and deliver self-service, scalable BI and AI solutions.
Establish data governance and metadata standards to ensure accuracy and consistency across all systems.
Partner with stakeholders in Sales, Merchandising, Marketing, Supply Chain, Finance, and other departments to ensure consistent, trusted data delivery.
