Data Analyst vs Data Scientist.
Same industry, different day-to-day. Here is how the two roles actually differ — skill by skill, from Skilture's profile of each role.
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Data Analyst
Collects, cleans, and interprets data to help organizations make informed decisions. Builds dashboards, runs analyses, and communicates insights to business stakeholders.
23 tracked skills · 11 core
Full Data Analyst skill breakdownData Scientist
Analyzes complex datasets to extract insights, build predictive models, and drive data-informed decision making. Combines statistical analysis, machine learning, and domain expertise to solve business problems.
29 tracked skills · 7 core
Full Data Scientist skill breakdownSalary snapshot
Data Analyst
$120,230/yr median
$67,240 – $199,130 (10th–90th percentile)
Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics) (SOC 15-2051.00, 2025)
Data Scientist
$120,230/yr median
$67,240 – $199,130 (10th–90th percentile)
Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics) (SOC 15-2051.00, 2025)
Both roles map to the same US occupation (SOC 15-2051.00), so the figures are the same. US figures in US dollars (BLS/O*NET); we have no sourced Indian figure yet.
8 skills both roles expect
These transfer directly if you switch between the two paths — but notice where the importance differs. Tap any skill to see why it matters.
| Skill | For Data Analysts | For Data Scientists |
|---|---|---|
| SQL | Core | Core |
| Python | Core | Core |
| Tableau | Core | Important |
| Power BI | Core | Nice-to-have |
| Pandas | Important | Core |
| Data Storytellingsoft | Core | Important |
| A/B Testing | Important | Important |
| R | Nice-to-have | Nice-to-have |
Where the paths diverge
The skills each role expects that the other doesn't — this is the real cost of choosing one path over the other.
Only Data Analysts need
15 skills, 6 of them core
Still torn? Let your actual skills decide.
Upload your resume and score yourself against both roles. See which one you're already closer to — and exactly what it takes to close the other gap.
Run the full analysis (free)Data Analyst vs Data Scientist: common questions
- What is the difference between a Data Analyst and a Data Scientist?
- Data Analyst: Collects, cleans, and interprets data to help organizations make informed decisions. Builds dashboards, runs analyses, and communicates insights to business stakeholders. Data Scientist: Analyzes complex datasets to extract insights, build predictive models, and drive data-informed decision making. Combines statistical analysis, machine learning, and domain expertise to solve business problems. The two roles share 8 skills, while 15 skills are specific to Data Analysts and 21 to Data Scientists.
- Which skills do Data Analysts and Data Scientists share?
- Skills that are core to both roles include SQL, Python. In total the roles overlap on 8 skills, which makes it realistic to move between them.
- How do I know which role my current skills are closer to?
- Upload your resume at Skilture and check your Resume Score against each role. In about 60 seconds per role you see which one you're already closer to and exactly which skills you'd need to close the gap — free, no signup required.