Find useful patterns
Analysts compare performance over time, segment customers, investigate changes, and check whether numbers support a decision.
Role overview
What does a Data Analyst do?
Data Analysts help teams understand what is happening in a business and what action to take next. They collect and clean data, write queries, build reports, explore patterns, explain trends, and turn findings into recommendations that managers and stakeholders can use.
Build clear reports
Dashboards, spreadsheets and summaries help teams track important metrics without digging through raw data.
Explain the impact
Good analysis connects data to a business question, explains uncertainty, and recommends a practical next step.
Core skills
Core skills needed
The TechPathReady Data Analyst path focuses on six practical skill areas.
Excel
Use formulas, lookup functions, pivot tables, charts and cleaning techniques for fast business analysis.
SQL
Query databases with filters, joins, grouped metrics and aggregations so you can answer real data questions.
Power BI
Build dashboards with clean data models, Power Query, DAX basics and readable visuals.
Statistics
Understand averages, variation, correlation, sampling and basic significance to avoid misleading conclusions.
Python
Use Python basics, pandas, CSV files, data cleaning and simple charts for repeatable analysis.
Communication
Explain insights, business context, data stories, stakeholder updates and presentation takeaways clearly.
Study sequence
Recommended learning order
Start with tools that help you answer simple questions quickly, then build toward dashboards, statistics and automation.
1
Excel
Practise formulas, pivot tables and charts so you can inspect and summarise small datasets confidently.
2
SQL
Learn to retrieve, filter, join and aggregate data from tables before building reports.
3
Power BI
Turn cleaned data into dashboards with useful metrics, relationships and clear visual design.
4
Statistics and Python
Use statistics to interpret results and Python to automate cleaning, analysis and repeatable reporting tasks.
Readiness scoring
How readiness is measured on TechPathReady
The Data Analyst readiness report combines skill test results with role weights. Each skill test has 5 topics and 20 total questions, so the Career Path Guide works as a focused Data Analyst readiness test. Final scores are saved only after completing the full skill test, then the report calculates an overall readiness score out of 100.
Role-based skills
The roadmap uses the same Data Analyst skills shown in the Career Path Guide.
Topic tests
Questions are grouped by topic so you can test focused areas instead of guessing broadly.
Saved results
Completed skill scores are saved in your browser and used in the readiness report.
Next steps
The report highlights strengths, weak areas and practical study actions.
Next step
Check your Data Analyst readiness
Open the Career Path Guide, choose your country, select Data Analyst, and start testing the skills in your roadmap.
Open Career Path Guide