Performance Analysis & Monitoring
- a) Analyze live metrics for existing AI projects features and strategic initiatives, rapidly diagnosing any deviations or anomalies in KPIs.
- b) Conduct A/B test evaluations and cohort analyses to forecast and compare potential future feature/strategy outcomes.
Dashboard Development & Visualization
- a) Design, develop, and maintain interactive dashboards using BI tools (e.g., Tableau, Power BI, Looker) to visualize key metrics, AI model outputs, and operational KPIs for stakeholders.
- b) Optimize dashboard performance and usability, ensuring real-time data updates, intuitive navigation, and responsive layouts.
- c) Enable self-service analytics by providing training materials, documentation or even ChatBI.
Support Business and Uncover New Opportunity
- a) Engage deeply with cross-functional stakeholders (e.g., sales, operations, marketing), gathering detailed research questions and translating them into analytical projects.
- b) Deliver concise, data-backed reports and presentations that guide decision-making.
- c) Use exploratory analysis to uncover new business opportunities and recommend strategic data-driven roadmaps.
Data Solution Design & Implementation
- a) Partner with Product Managers and Engineering teams to define optimization product strategies and design predictive or prescriptive models.
- b) Take ownership of end-to-end deploymentwrapping models in reproducible pipelines, overseeing validation, and monitoring live performance.
- c) Design data analysis functionality with latest AI tech or tools to improve business operation efficiency.
Data Governance & Prompt Engineering Ability
- a) Coordinate with Data Engineering and IT to ensure seamless data ingestion, quality controls, and governance standards.
- b) Able to use and optimize the prompts to GenAI models to achieve better.
