Data Operations Analyst

The Command Center Application Monitoring Analyst is responsible for the day-to-day operational monitoring of the Command Center App (CCA), ensuring that the application, dashboards, data pipelines, and underlying data products remain available, accurate, timely, and reliable. The role acts as the first line of operational monitoring, proactively identifying issues, performing initial investigation and validation, coordinating with relevant technical teams, and tracking incidents through to resolution.

Key

Responsibilities Command Center Application Monitoring Perform daily monitoring of the Command Center App and its key business functionalities. Validate that dashboards, KPIs, filters, navigation, and application features are functioning as expected. Monitor application availability, performance, and data refresh status. Identify anomalies, failures, missing data, or unexpected application behavior. Perform scheduled monitoring checks throughout the business day. Data Quality Monitoring Monitor established data quality rules and dashboards. Investigate data quality alerts, discrepancies, missing records, and unusual trends. Perform initial validation against available source data or governed data products. Escalate confirmed data quality issues to the appropriate Data Engineering, Data Product, or Analytics teams. Track recurring data quality issues and support root-cause analysis. Incident Management and Escalation Act as the first point of contact for CCA operational issues. Perform initial triage to determine whether an issue relates to the application, data, pipeline, access, or infrastructure. Log production defects and incidents with clear issue descriptions, supporting evidence, and business impact. Escalate incidents according to the defined severity and escalation process. Follow up with responsible teams until resolution. Validate fixes before incidents are closed. Release and Deployment Monitoring Support operational validation following CCA releases and production deployments. Perform post-deployment smoke checks on critical application functionality. Validate that key reports, dashboards, data pipelines, access controls, and application features remain operational. Report deployment-related issues immediately and support rollback or escalation decisions where required. User Access and Security Checks Support monitoring of user access to CCA. Assist with validation of SSO, role-based access, RLS/PLS, and user onboarding issues. Escalate access and authentication issues to the appropriate support teams. Ensure access-related activities follow established governance processes. Operational Reporting Maintain a daily monitoring checklist and issue tracker. Provide regular operational status updates covering application availability, pipeline status, data freshness, data quality exceptions, open production incidents, outstanding defects, and release-related issues. Highlight risks, recurring failures, ageing issues, and dependencies requiring management attention.

Requirements Required Skills and Experience 3-5 years of experience in Data Analytics, Application Support, Production Support, Data Operations, BI Operations, or a similar role. Good understanding of how applications function, including key features, workflows, dependencies, and user interactions. Working knowledge of SQL for basic data validation and troubleshooting. Understanding of data pipelines, ETL/ELT processes, data refreshes, and data quality concepts. Familiarity with tools such as Azure DevOps, Microsoft Teams, SharePoint, and the Microsoft data and analytics ecosystem. Basic knowledge of APIs and tools such as Swagger or Postman. Experience logging, tracking, and managing production incidents and defects. Ability to perform structured issue triage and distinguish between application, data, pipeline, access, and infrastructure problems. Strong attention to detail and ability to identify unusual data or application behavior. Good written and verbal communication skills. Key Competencies Proactive monitoring: Identifies potential issues before they are reported by users. Analytical thinking: Investigates discrepancies and narrows down likely causes. Attention to detail: Detects subtle data, application, or operational anomalies. Ownership: Tracks issues through to resolution rather than simply escalating them. Communication: Provides clear, concise updates to technical teams, business stakeholders, and management. Prioritization: Distinguishes critical production incidents from lower-priority defects. Process discipline: Consistently follows monitoring, escalation, incident, and deployment procedures. Typical Daily Activities Verify overnight pipeline and data-refresh status with GTDP. Check the relevant monitoring portal for failed, delayed, or incomplete pipelines. Perform CCA application health checks. Validate key dashboards, KPIs, and critical business views. Review data quality monitoring results. Investigate exceptions and perform initial data validation. Log and escalate confirmed production issues. Follow up on outstanding incidents and defects. Perform additional checks following deployments or releases. Maintain the daily monitoring checklist and provide an operational status update. Success Measures / KPIs At least 98% completion of scheduled monitoring checks. Critical monitoring checks completed within the agreed morning operational window. Production issues proactively identified before significant user impact, where technically possible. Timely escalation of critical incidents according to the agreed SLA. Accurate documentation and classification of production issues. Reduction in recurring production incidents through identification of patterns and root causes. Post-deployment validation completed for 100% of production CCA releases. Clear and up-to-date tracking of all open CCA operational issues.