-Design, develop, and maintain reports, dashboards, and datasets to support business reporting and analytics needs.
-Support preparation and transformation of structured and unstructured data for analytics, natural language processing, and AI-driven use cases.
-Collaborate with business, reporting, and analytics teams to understand requirements and deliver reporting solutions aligned with business needs.
-Support preparation and transformation of structured and unstructured data for reporting, analytics, and AI-driven use cases.
-Design, develop, and maintain data pipelines to integrate data from multiple sources into enterprise platforms such as Snowflake or Lakehouse environments.
-Configure and support data connectivity including gateways, service accounts, and secure access to data platforms.
-Troubleshoot and resolve reporting and data issues such as refresh failures, data discrepancies, and connectivity problems to ensure reliability.
-Apply performance optimization techniques across reports, datasets, and data pipelines to improve efficiency and user experience.
-Ensure adherence to data governance, security, and compliance standards, including access management and standardized processes.
-Translate business requirements into technical specifications and support delivery of reporting and data initiatives within defined timelines.
-Create and maintain documentation for reports, datasets, data pipelines, and support processes.
-Support data validation, cleansing, and enrichment to ensure accuracy for reporting, analytics, and AI/ML consumption.
-Perform other duties as assigned.