AI Data & Insights Analyst

- Connect and extract data from tools like Tableau, Microsoft Forms, Excel, Azure DevOps, Power BI, and other enterprise applications. - Build and sustain reliable data pipelines from structured, semi-structured, and unstructured sources while ensuring data quality. - Identify and integrate new data sources as various needs arise. - Analyze workforce and organizational data to correlate composition and changes with outcomes and delivery rates. - Develop reports linking people metrics to business outcomes and aiding capacity planning while adhering to privacy regulations. - Utilize statistics, AI, and machine learning to uncover patterns, anomalies, correlations, outliers, and leading indicators. - Present multiple valid interpretations of key findings, consisting of optimistic, neutral, and cautionary perspectives, noting any uncertainties and risks. - Recognize cross-domain patterns relating ADO sprints, headcount, survey sentiment, and delivery performance, while flagging potential biases. - Leverage Azure AI, Copilot, and Python ML libraries to derive predictive and narrative insights, while assessing emerging AI analytics technologies. - Employ command line AI tools and scripts to automate ETL processes, create and refine DAX, SQL, KQL, and Power Query codes, and integrate with CI/CD environments. - Interact with APIs and cloud storage using CLI for batch processing and generating BI outputs with version-controlled scripts in Git. - Design dashboards catering to executives, directors, and teams, including journey visualizations and interpretative guidance. - Transform intricate datasets into visual narratives, track trends and changes, and offer context for metric variations. - Facilitate the definition of KPIs and reporting schedules, presenting findings to executives with alternative views. - Apply Lean principles and flow analysis to identify bottlenecks, waste, and flow metrics, supporting continuous improvement initiatives.