Zaid Memon

Supported ServiceNow Software Asset Management governance by reviewing software records, validating key fields, and reconciling discrepancies to improve data completeness and license-compliance visibility. Used SQL to extract and analyze asset and operational data, investigate exceptions, and validate totals with business, risk, and compliance stakeholders. Built Power BI KPI dashboards for utilization and compliance indicators, reducing manual SLA reporting and evidence preparation effort. Applied structured data profiling and repeatable validation logic to standardize recurring checks and support audit-ready reporting.

Supported ServiceNow ITSM and CMDB processes by reconciling configuration and asset records, checking key attributes, and following up on inconsistencies to strengthen CMDB integrity. Queried operational datasets with SQL to investigate reporting discrepancies and validate source completeness before stakeholder reporting. Developed Power BI and Tableau dashboards for operational KPIs and SLA trends, reducing weekly manual reporting time. Implemented data-quality checks and repeatable preparation workflows aligned with Alteryx concepts, improving reliability of datasets used for operational decisions.

Analyzed operational and transaction datasets using SQL to identify unusual patterns and data exceptions, supporting risk-aware monitoring and operational decisions. Created Power BI KPI views and Tableau visualizations to communicate utilization and performance trends and to support investigation findings. Participated in ITIL-aligned service-catalogue activities and Agile backlog refinement by documenting use cases and coordinating service improvements. Used Jira to track incidents and sprint progress and applied Python and Alteryx-style validation workflows to standardize reporting inputs and improve dataset consistency.

Participated in requirements workshops and translated client business needs into BRD/FRD documentation and process maps for change initiatives. Cleaned and analyzed operational datasets using SQL and Python to support reporting and risk-assessment workflows across multiple use cases. Assisted with Tableau and Power BI reporting by preparing datasets, checking totals, and presenting operational trends for business stakeholders. Coordinated UAT/SIT activities with Jira tracking, performed data-quality checks, and produced process documentation and reusable templates to improve execution traceability.