What Does a Data Analyst Do? Metrics, Insights, and Decision Support

A data analyst helps the business ask better questions and answer them with data: funnels, cohorts, revenue drivers, operational KPIs, and experiment readouts - usually with SQL, BI tools, and clear narratives.

This guide explains the role in practical terms: what the person actually does, core skills, and when a business should hire for this position - without buzzword fog.

Core responsibilities

Day to day, the role typically covers:

• Define metrics and ensure teams share one source of truth.
• Build dashboards and recurring reports for stakeholders.
• Investigate anomalies and explain “what changed and why.”
• Support A/B tests and product/marketing decisions with analysis.
• Partner with engineers on tracking plans and data quality.

Skills that matter

Tools change; the underlying competencies stay valuable:

• SQL, spreadsheets, BI (Looker/Metabase/Power BI/Tableau)
• Statistics basics, experimentation literacy
• Business communication and data storytelling
• Python/R for deeper analysis is a strong plus

When you need this role

When decisions are gut-feel only, metrics conflict between teams, or growth/product work needs reliable measurement.

Bottom line

Analysts do not magically create truth. Without clean events and definitions, dashboards become expensive decoration.