AI Analyst

Drive product impact by proposing and conducting quantitative research into key user behaviors and trends

Conduct in-depth analysis and build statistical models to identify trends and key drivers that inform important decisions made by the user.

Data analysis to identify common trends

Based on analysis, propose enhancements for automation pipelines.

Review the output of AI models to improve performance by identifying common usage gaps

Optimise AI model performance through effective prompt engineering techniques.

Establish automated model performance improvement pipelines through prompt engineering.

Responsible for generating, testing, evaluating, and curating high-quality, diverse, and representative data (including synthetic) for AI model development, training, and performance.

Analyse model performance by diving into user feedback data and product usage reports.

Suggest ways to improve product usage by specifically targeting each group of users and also feature.

Create a business analysis report weekly.

Define and monitor key metrics; investigate changes in metrics.

Driven to continuously learn and adapt.