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Data Analyst Skills

A practical checklist of what junior analyst roles tend to expect - and how to practise each skill.

Technical skills

Skill What it looks like in practice How to practise
Excel Lookups, SUMIFS, pivot tables, clean tables Excel course
Data cleaning Fix dates, duplicates, inconsistent categories Power Query
Data modeling Separate facts and dimensions; correct relationships Data modeling
BI and DAX Measures such as YTD revenue and percent of total DAX course
Visualization Choosing charts, designing readable pages Dashboards
Statistics basics Averages vs medians, spread, correlation Excel data analysis

Business and communication skills

  • Question framing: turn “analyse sales” into three measurable questions.
  • Skepticism: check totals against a known source before trusting a number.
  • Storytelling: lead with the finding, then evidence.
  • Domain knowledge: understand how the business earns and spends money.

Other tools you may see

Job listings frequently also mention SQL and Python. If your target roles require them, plan to learn them alongside the tools taught here; check the curriculum for what CharterPeak teaches.

Building evidence

Employers respond to proof: two or three projects with a clear problem, a clean dashboard and a short write-up. See project format and resume tips.

Last reviewed: October 2026

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Power Query, data modeling, DAX, visuals, dashboards and Power BI Service - from first import to a published report.

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