QLM EXPERIENCE RESIDENCY

Data Analyst I

Demonstrate data quality discipline, metric interpretation, experiment analysis, causal reasoning, AI-output auditing, and executive insight communication.

0/15 scenarios

1

Data Quality and Preparation

Identifying and fixing data quality issues before they corrupt business decisions.

2

Dashboard Interpretation

Reading dashboards critically and designing them to support decisions, not just display data.

3

Experiment Readouts

Interpreting A/B tests, detecting statistical pitfalls, and auditing AI-generated conclusions.

4

Causality and Forecasting

Distinguishing correlation from causation and communicating uncertainty in forecasts.

5

Insight Communication Capstone

Turning complex analysis into actionable executive communication and defending it under challenge.