About this role
Coordinate and manage data deliveries from self-service analytics (SSA) platforms and external vendors, ensuring timeliness, completeness, and format compliance. Monitor incoming data feeds proactively to identify gaps, anomalies, inconsistencies, or structural drift before they create downstream impact. Maintain and update business rules, mapping logic, taxonomies, and classification standards, ensuring they reflect current business and market realities and are structured for both human and machine consumption. Troubleshoot data issues end-to-end, from issue detection through root cause analysis and corrective action, ensuring timely remediation and documenting resolutions to prevent recurrence. Support analytics and BI reporting needs by preparing data, validating outputs, maintaining Power BI dashboards, and ensuring reports reflect accurate, timely, and contextually correct business information. Provide support for local market data requests and other ad hoc analytical or operational data needs within the defined scope of the role. Ensure that data assets are properly documented, governed, and structured to improve usability, transparency, and trust across reporting and AI use cases. Apply an AI-first lens to daily work by identifying opportunities to improve data usability for machine interpretation, automation, and AI product integration. Contribute to the preparation and operational readiness of datasets used in AI-driven use cases, ensuring that data quality, consistency, and semantic clarity meet required standards. Collaborate with internal stakeholders, cross-functional teams, and external data providers to resolve issues, clarify requirements, and improve overall data reliability and usability. Use business understanding and commercial context to interpret data appropriately and ensure outputs are meaningful, actionable, and aligned with decision-making needs.