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Data Analyst

Turn raw data into decisions: SQL, statistics, dashboards and a story stakeholders act on.

✦ Guide me on this path with AI

Roadmap progress

0% 0 of 6 steps done

How to read the signals

Importance High Market demand Medium Automation risk Low
  1. 1

    SQL & spreadsheets

    Query, join, aggregate. The analyst's daily tools.

    Importance High Market demand High Automation risk Medium
  2. 2

    Data cleaning

    Handle missing, messy, duplicate data. Garbage in, garbage out.

    Importance High Market demand High Automation risk Medium
  3. 3

    Statistics

    Distributions, correlation vs causation, significance.

    Importance High Market demand Medium Automation risk Low
  4. 4

    Visualization

    Choose the right chart; make insight obvious at a glance.

    Importance High Market demand High Automation risk Medium
  5. 5

    BI tools

    Power BI / Looker / Metabase dashboards people use.

    Importance Medium Market demand High Automation risk Medium
  6. 6

    Data storytelling

    Drive a decision, not just a chart. Influence with clarity.

    Importance High Market demand High Automation risk Low