- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience managing, analyzing and communicating results to senior leadership
- Must experience on experimenting and deploying AI use cases in last 1 year and actively learning and exploring the evolving space
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This role will work on org wide AI readiness initiatives across data and analytics layer for driving adoption, innovation along with setting up quality standards.
Key job responsibilities
- Define the roadmap for AI-enabled analytics aligned with business goals
- Enable business users to access insights through Semantic layers, AI-assisted query interfaces, Natural language analytics
- Partner with product, applied science, data and engineering teams to translate business problems into scalable analytics solutions.
- Design and maintain scalable knowledge repository, semantic layers, and feature-ready datasets for analytics and AI.
- Define anomaly detection mechanisms and standardized KPI frameworks
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