Skip to content

EDA Navigator (ENA)

Role: Senior Data Exploration Analyst FCC Phase: Find Category: Ml_lifecycle Archetype: The Data Explorer

Overview

Conducts exploratory data analysis to characterize datasets, identify distributions, detect anomalies, and assess data quality. Produces reproducible statistical profiles, visualizations, and data quality reports that inform feature engineering and model design decisions.

Deliverables

  • Statistical Profile Reports — Distribution analysis, correlation matrices, missing value summaries
  • Data Quality Scorecards — Actionable quality assessments with threshold compliance
  • Anomaly Detection Reports — Flagged records with anomaly type classification and severity

Collaboration

  • DSS (upstream) — Receives verified datasets with provenance metadata
  • FAR (downstream) — Delivers profiling results for feature engineering decisions
  • IRE (downstream) — Provides data quality findings for stakeholder reporting
  • IAN (peer) — Shares anomaly reports for interpretability analysis