Career Comparison

Data Analyst vs Data Engineer

Same industry, different day-to-day. Here is how the two roles actually differ — skill by skill, straight from real job requirements.

Free · No signup · Results in 60 seconds

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 breakdown

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.

29 tracked skills · 6 core

Full Data Engineer skill breakdown

Salary snapshot

US market data

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 market data (BLS/O*NET) — India-specific salary data coming soon.

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.

SkillFor Data AnalystsFor Data Engineers
SQLCoreCore
PythonCoreCore
ETLImportantCore
SnowflakeNice-to-haveCore
BigQueryNice-to-haveImportant
Problem SolvingsoftImportantImportant
dbtNice-to-haveNice-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.

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.