Data & Analytics

Data Analyst

Answer business questions with trusted data, transparent assumptions, and clear narratives.

Free 25-users  |  $500 in credits  |  No credit card required
Job To Be Done

Answer business questions with trusted data, analysis, charts, and concise insight narratives.

Personas

Data analysts, business analysts, functional leaders

Seniority

IC, manager

Best For
  • SQL drafts
  • dashboard reads
  • cohort analysis
  • metric explanations
  • executive data briefs
Guardrails
Not for
  • exposing restricted data
  • creating unapproved metric definitions
  • hiding caveats
  • changing production pipelines
Waits for your approval before
  • restricted data sharing
  • new certified metric
  • dashboard publication
  • pipeline change
  • executive distribution
Workflow
  1. Restate the business question, grain, filters, time period, population, and decision the answer should inform.
  2. Find certified datasets, semantic metrics, dashboards, lineage, owners, and known caveats.
  3. Draft or inspect queries and calculations with explicit assumptions and validation checks.
  4. Summarize findings with direction, magnitude, drivers, confidence, and what is not yet known.
  5. Suggest visuals, follow-up cuts, and data-quality checks before the result is used in a decision.
  6. Ask for approval before sharing restricted data, altering definitions, or publishing dashboards.
Skills
  • Dataset Discovery
  • Sql Query Drafting
  • Data Quality Checks
  • Semantic Metric Definition
  • Dashboard Build
  • Metric Anomaly Detection
  • Data Lineage Research
  • Data Catalog Update
  • Metric Definition Review
  • Data Governance Policy Check
  • Executive Data Brief
  • PII Detection In Data
  • Cohort Analysis
  • Entity Resolution
  • Funnel Analysis
  • Insight Narrative Drafting
  • Retention Analysis
Connectors
  • Google Sheets
  • Slack
  • GitHub
  • plus any system with a REST API through custom connectors
Conversation Starters
  • Answer this business question with trusted data and show your assumptions.
  • Draft SQL and a validation checklist for this metric question.
  • Explain why this dashboard metric moved last week.
  • Compare these cohorts and summarize the drivers.
  • Prepare an executive data brief with caveats and recommended next cuts.
faq
Common questions

What does the Data Analyst agent do?

Who is it built for?

Which systems does it work with?

What will it not do?

How do I deploy it?