Salary Comparison

Data Analyst vs Software Engineer Salary

Software Engineers earn approximately 47.6% more than Data Analysts nationally — $124,000 vs $84,000.

Data Analyst
$84,000
national median annual
Hourly (40 hr × 52 wk)
$40
Biweekly (26 paychecks)
$3,231
Monthly
$7,000
Category
Tech
Software Engineer
$124,000
national median annual
Hourly (40 hr × 52 wk)
$60
Biweekly (26 paychecks)
$4,769
Monthly
$10,333
Category
Tech
Difference
Annual difference
Software Engineer earn more than Data Analyst
+$40,000
Percentage difference
+47.6%
Hourly difference
+$19/hour
Monthly difference
+$3,333/month
Lifetime difference (40-yr career)
Naive — doesn't include compounding raises
+$1,600,000

Software Engineers earn approximately $40,000 more per year than Data Analysts — about 48% — with comparable entry requirements.

Pay range, not just the median

The medians hide most of what matters. Data Analyst pay runs from roughly $50,000 at the low end to $155,000 at the high end; Software Engineer runs $76,000 to $208,000. Position within the range is driven by what you specialize in and who you work for, not by the title on the offer.

Where each field is heading

The Bureau of Labor Statistics projects Data Analyst employment to grow 23% over the decade to 2034 — growing much faster than average — against growth of 15% for Software Engineer.

Growth rate is not the same thing as opportunity. Data Analyst roles see roughly 19,800 openings a year and Software Engineer roles about 140,100, counting replacements for people who retire or leave. Software Engineer has the larger raw number, which is usually what you feel when actually job hunting — a small field growing fast can still be harder to break into than a large flat one.

What the work is actually like

Data Analyst: Office or remote, building reports/dashboards from company data. Software Engineer: Office or remote, writing/testing code at a computer most of the day.

Moving between the two

Both sit in Tech, so the surrounding context transfers even where the day-to-day does not: similar employers, similar hiring cycles, overlapping professional networks. Common entry point for career-switchers from finance, operations, or marketing because SQL and Excel are learnable in a few months and many roles don't require a CS background. Adjacent fields (data engineering, DevOps, QA automation) transfer easily since the core skill is programming; switching in from a non-technical field usually requires 6-12 months of self-study plus shipped projects to pass interviews.

If you are entering rather than switching: Data Analyst — Bachelor's in any quantitative-adjacent field (business, econ, stats) plus a portfolio of dashboards/SQL projects; the 2021 SOC revision folds data analysts into the same Data Scientists code as more advanced ML roles, so BLS wage/openings figures here are shared with data scientists and likely overstate the analyst-only entry pay. Software Engineer — CS bachelor's degree with internships during school is the dominant path; a smaller share enter via coding bootcamp plus a public GitHub portfolio and pass technical interviews without a CS degree.

Pay ranges, education requirements, and employment projections come from the Bureau of Labor Statistics Occupational Outlook Handbook and Occupational Employment and Wage Statistics. See our methodology for how these are compiled and updated.

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Frequently Asked Questions

Who earns more, a Data Analyst or a Software Engineer?
Software Engineers earn more at the median — approximately $124,000 a year against $84,000, a gap of $40,000 or 48%. The ranges overlap though: Software Engineer pay starts around $76,000 and Data Analyst pay reaches about $155,000 at the top, so an experienced Data Analyst can out-earn a new Software Engineer.
Which has the better job outlook, Data Analyst or Software Engineer?
Data Analyst, by the BLS projections: +23% employment change through 2034 versus +15% for Software Engineer. Openings matter as much as growth rate — Data Analyst averages about 19,800 openings a year and Software Engineer about 140,100, including replacement of workers who leave the field.
Do these numbers hold in my city?
Nationally sourced, so treat them as a baseline rather than a local answer. Regional cost-of-living and industry concentration move both careers, but rarely by the same amount, which means the 48% gap above is a national figure and not necessarily yours.