Intro

This placeholder keeps the route valid while the full Phase 3 content migration runs.

Day-in-the-Life

  1. Question framing Clarify the decision the data needs to support.
  2. Data checking Use AI-assisted checks to find gaps, outliers, and inconsistencies.
  3. Findings summary Write a concise explanation of what the numbers do and do not show.

Skills & Tools

Core skills

  • Data cleaning
  • Research judgment
  • Dashboard design
  • Source checking

Tools

  • Excel
  • SQL
  • Python
  • Claude

Income Ranges

Salary figures need fresh research before publication.

Role level Benchmark range Context
Research pending Research pending Use current salary sources before launch.

Source: research pending.

Entry Paths

Path 01

The Spreadsheet Route

Start with advanced spreadsheet work and add database skills.

Path 02

The Research Route

Move from desk research into evidence-backed analysis.

Path 03

The Operations Route

Use process knowledge to explain what the data means.

Quiet-Friendliness

Pros

A large share of the work is independent analysis and written explanation.

Cons

Bad source data can create pressure and repeated clarification loops.

First 3 Wins

  1. Audit a dataset Find missing fields, duplicates, and suspicious values.
  2. Explain one metric Write a plain-English note that defines a key metric and its limits.
  3. Build one dashboard Create a focused view that answers one business question.

FAQ

Do I need advanced math?

Not for every role. Clear questions, clean data, and honest limits matter first.

Can AI analyze everything for me?

AI can help inspect and explain, but you still verify the data and the conclusion.