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