Data Operations Customer Support Specialist provides technical support for enterprise data services within a highly regulated environment, diagnosing and resolving issues related to data access, data quality, and data availability. The role manages customer tickets end-to-end, coordinates with data engineering and platform teams on complex incidents, and communicates service disruptions and maintenance activities to stakeholders. The specialist develops and maintains knowledge base content, user documentation, and training materials to improve data usability and self-service adoption. This position monitors data service health, analyzes support metrics and customer feedback, and drives continuous improvement through proactive monitoring and participation in change management processes. Key responsibilities include troubleshooting data access, ETL pipelines, and data quality issues across databases, data lakes, and analytics platforms; managing incidents and tickets using ITSM tools with prioritization, SLA adherence, and escalation coordination; performing root cause analysis by correlating logs, queries, and system metrics to isolate faults; developing and maintaining knowledge base content, user guides, and service procedures for recurring data problems; monitoring and alerting on data services using observability tools, interpreting performance metrics and detecting anomalies; applying data governance and security practices, including access controls, auditing, and handling sensitive data in a regulated environment; collaborating with data engineering and platform teams

Data Operations Customer Support Specialist provides technical support for enterprise data services within a highly regulated environment, diagnosing and resolving issues related to data access, data quality, and data availability. The role manages customer tickets end-to-end, coordinates with data engineering and platform teams on complex incidents, and communicates service disruptions and maintenance activities to stakeholders. The specialist develops and maintains knowledge base content, user documentation, and training materials to improve data usability and self-service adoption. This position monitors data service health, analyzes support metrics and customer feedback, and drives continuous improvement through proactive monitoring and participation in change management processes. Key responsibilities include troubleshooting data access, ETL pipelines, and data quality issues across databases, data lakes, and analytics platforms; managing incidents and tickets using ITSM tools with prioritization, SLA adherence, and escalation coordination; performing root cause analysis by correlating logs, queries, and system metrics to isolate faults; developing and maintaining knowledge base content, user guides, and service procedures for recurring data problems; monitoring and alerting on data services using observability tools, interpreting performance metrics and detecting anomalies; applying data governance and security practices, including access controls, auditing, and handling sensitive data in a regulated environment; collaborating with data engineering and platform teams