Data Analyst vs Data Engineer.
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 Engineer
Designs, builds, and maintains data pipelines and infrastructure for analytics and machine learning. Responsible for data ingestion, transformation, storage, and ensuring data quality and accessibility across the organization.
29 tracked skills · 6 core
Full Data Engineer 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 Engineer
$139,500/yr median
$86,240 – $204,000 (10th–90th percentile)
Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics) (SOC 15-1243.00, 2025)
US figures in US dollars (BLS/O*NET); we have no sourced Indian figure yet.
7 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.
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
16 skills, 9 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 Engineer: common questions
- What is the difference between a Data Analyst and a Data Engineer?
- Data Analyst: Collects, cleans, and interprets data to help organizations make informed decisions. Builds dashboards, runs analyses, and communicates insights to business stakeholders. Data Engineer: Designs, builds, and maintains data pipelines and infrastructure for analytics and machine learning. Responsible for data ingestion, transformation, storage, and ensuring data quality and accessibility across the organization. The two roles share 7 skills, while 16 skills are specific to Data Analysts and 22 to Data Engineers.
- Which skills do Data Analysts and Data Engineers share?
- Skills that are core to both roles include SQL, Python. In total the roles overlap on 7 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.