Data & Business Analyst

This resource serves as the functional and data bridge necessary to successfully integrate the  ServiceNow Software Asset Management (SAM)  module and lay the groundwork for the AI Ticketing Agent. This is an ideal role for someone who thrives at the intersection of data analytics and business analysis.

Data Collection and Cleansing:  Collect and extract data from diverse sources such as Excel, SharePoint Lists, and shadow IT systems to support the SAM module and AI training pools. Source Data Validation:  Apply quality assurance by validating datasets with ServiceNow import/export and analysis tools for accuracy, consistency, and completeness before platform ingestion. Shadow IT Data Capture:  Identify, document, and collect data from shadow IT to ensure a full inventory for Application Portfolio Management and SAM. Application Cataloging:  Define necessary metadata and attribute data to support initial application cataloging within the SAM module. Requirements Gathering:  Lead targeted sessions with IT, Finance, and Asset Management stakeholders to establish business logic, compliance rules, and reporting needs for ServiceNow SAM. AI Ticketing Data Specification:  Specify requirements for structure, volume, and quality of historical ticket data to train and validate the AI Ticketing Agent model. Data Flow and Mapping:  Develop source-to-target mapping and transformation logic for data integration, ensuring new ServiceNow modules align with master data definitions. Platform Stabilization:  Support the initial build-out and stabilization of new data platforms and transition processes to the internal team upon completion. Knowledge Transfer:  Document and transfer all processes, data mappings, and quality checks to the long-term operational team.