Descripción de la oferta
Experteer Overview
In this global role, you ensure data flows, quality, and structure to power both human decision-making and AI-driven insights. You work across data operations, BI, and AI to make data AI-ready, enabling AI use cases and machine interpretation. You balance business context with technical fluency to govern data pipelines, mappings, and documentation. You’ll help shift analytics from ad-hoc reports to self-service, AI-augmented operations that deliver trusted outcomes.
Compensaciones / Beneficios
• Coordinate data deliveries from self-service analytics platforms and external vendors ensuring timeliness, completeness, and format compliance
• Maintain and update data mapping rules, taxonomies, and classification standards for both human and machine consumption
• Troubleshoot data issues end-to-end from detection to remediation and document resolutions
• Support analytics and BI reporting requests by preparing data, validating outputs, and maintaining Power BI dashboards
• Facilitate local market data requests and ad-hoc analytics needs bridging market teams, global data platforms, and stakeholders
• Identify opportunities to convert recurring requests into self-service reporting or automated delivery
• Prepare data for AI use cases ensuring clean, well-labeled, semantically tagged datasets with AI model consumption in mind
• Support AI product operationalization through data validation and feedback loops
• Actively leverage AI tools in daily work to improve efficiency and output quality
• Identify and implement automation opportunities in data operations, including AI-assisted processes
• Create and maintain operational documentation for processes, mapping logic, vendor feeds, and data dictionaries
• Support onboarding and training on data tools, AI-enabled workflows, and processes
• Collaborate with Global Market Data u0026 AI Acceleration Lead, regional teams, IT/Data Engineering u0026 Data Science, external data providers, and BI users
Responsabilidades
• Bachelor's degree in Business, Economics, Data Analytics, Information Management, or related field
• 2–5 years of experience in data operations, data quality management, or commercial data analytics
• Hands-on experience with syndicated market data (IQVIA, NielsenIQ, GfK) is a plus
• Experience defining data mapping rules, product matching logic, and classification standards
• Strong analytical and problem-solving skills
• Proficiency in Excel; familiarity with SQL, Power BI, Azure, Databricks, scripting basics, or prompt engineering is a plus
• Interest in AI tools, automation concepts, and AI-assisted data processes
• Detail-oriented with strong organizational skills and ability to manage multiple streams
• Experience creating process documentation, SOPs, and training materials
• Effective cross-cultural and cross-functional communication
• Proactive, self-directed, and comfortable in a global, matrixed environment
• Growth mindset towards AI as a multiplier
• Fluent English; additional languages a plus
Requisitos principales
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