Data Analyst vs QA Engineer
Data Analyst earns more at the mid level — $90 000 – $120 000 versus $75 000 – $100 000 in the US (Source: Habr Career, Glassdoor 2025), about 20% more.
At a glance
| Data Analyst | QA Engineer | |
|---|---|---|
| Salary comparison | $90 000 – $120 000 | $75 000 – $100 000 |
| Training Duration | 4–12 months | 4–12 months |
| Job Search Duration | 3–8 months | 2–7 months |
| English Level | B1 — for reading documentation and analytical reports | A2+ for documentation, B1+ significantly expands job opportunities |
| Education | Any post-secondary education — analytical thinking matters more than a specific degree | Vocational or higher — a CS degree helps but is not required |
| Demand Trend | Growing | Growing |
Picking a direction is the easy part, so weigh one more thing. Access platforms sell access. You pay to open a catalog of courses, and completing one earns a certificate of completion. In September 2026 that access keeps getting cheaper: some annual plans now cost less than $10 a month, and the discounts run year-round. The subscription itself has not changed: no week-by-week plan, no progress checks, and no result beyond the certificate. What is scarce is finishing with proof. A September 2026 AlphaSense analysis found that roughly 74% of employers treat AI skills as an advantage or a requirement, while only about 5% of workers hold advanced AI credentials, and its advice to the other 95% is to document the outcomes, not just the activity. Traecta starts where access ends. Your personalized roadmap breaks the switch into weekly steps and checks your progress as you go. You finish with a portfolio employers can open.
Salary comparison
Data Analyst
United StatesSource: Habr Career, Glassdoor 2025
QA Engineer
United StatesSource: Habr Career, Glassdoor 2025
Skills compared
Data Analyst
Technical Skills
Soft Skills
QA Engineer
Technical Skills
Soft Skills
Key differences
- Data analysts extract insights from data to guide decisions. QA engineers verify that software works correctly. Both use SQL, but for different purposes.
- QA roles are a faster entry into tech with less math required. Data analysis offers stronger salary growth and more strategic influence in organizations.
Which path should you choose?
At the mid level, Data Analyst tends to pay more than QA Engineer — $90 000 – $120 000 versus $75 000 – $100 000 in the United States, according to Habr Career, Glassdoor 2025. So the choice between them usually comes down to entry threshold and timeline rather than money: Data Analyst typically takes 4–12 months to learn and roughly 3–8 more to land a first role, while QA Engineer takes 4–12 and 2–7 months respectively.
If getting to market and earning sooner matters most, take the path with the shorter ramp. If you're willing to invest longer for a higher long-term ceiling, lean toward the role with the wider band. The skills and key-differences sections below show how close your existing background is to each option — and that fit, more than the salary number, is usually what makes the decision hold up.
If you're still early in the switch, the faster path has a real edge: it lets you validate the career change, start earning, and build a portfolio sooner, and that compounds — every month of delay is a month of senior-level pay you postpone. If you already have transferable experience, the higher-ceiling path rewards the deeper investment. The at-a-glance table above lays out the exact trade-off in months and pay, so match it against your own timeline and savings runway.
Frequently asked questions
Go deeper
Data Analyst
Data analysts turn raw numbers into business decisions. Every company collects data — analysts are the people who make it useful, finding patterns that drive revenue and reduce costs.
QA Engineer
Everything you need to know about starting and growing a career in software testing — from manual QA to automation engineering.
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