ASM Research is seeking a Data Operations Customer Support Specialist Journeyman to provide technical support for enterprise data services within a highly regulated environment. The role involves diagnosing and resolving issues related to data access, quality, and availability, and managing customer tickets end-to-end while coordinating with data engineering and platform teams on complex incidents. The specialist also develops and maintains knowledge base content, user documentation, and training materials to improve data usability and self-service adoption. The position requires monitoring data service health, analyzing support metrics and customer feedback, and driving 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 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 data services using observability tools, interpreting performance metrics, and detecting anomalies. - Applying data governance and security practices, including access controls and auditing in regulated environments. - Collaborating with data engineering and platform teams to resolve defects and improve system reliability an
ASM Research is seeking a Data Operations Customer Support Specialist Journeyman to provide technical support for enterprise data services within a highly regulated environment. The role involves diagnosing and resolving issues related to data access, quality, and availability, and managing customer tickets end-to-end while coordinating with data engineering and platform teams on complex incidents. The specialist also develops and maintains knowledge base content, user documentation, and training materials to improve data usability and self-service adoption. The position requires monitoring data service health, analyzing support metrics and customer feedback, and driving 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 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 data services using observability tools, interpreting performance metrics, and detecting anomalies. - Applying data governance and security practices, including access controls and auditing in regulated environments. - Collaborating with data engineering and platform teams to resolve defects and improve system reliability an
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