With many companies calling workers back to the office, I’m curious how much do data analysts earn in New York, Texas, and California in 2026 when working fully remote. Are companies still offering "location-based" pay, or is there a move towards a national flat rate for data science roles? I want to know if I can live in a low-cost area while earning a Manhattan salary.
3 answers
Unfortunately, the trend is moving back toward location-based adjustments. Most major firms in California and New York have implemented "pay zones." If you are hired by a San Francisco firm but live in a rural area, they might reduce your offer by 15-20%. However, Texas-based companies seem more open to a flat rate across the state. If you want to maximize your earnings, your best bet is to find a "hybrid" role in a major hub where you only go in once a week; that way you keep the high-tier city salary while living an hour or two away in a cheaper suburb.
Are you seeing any specific industries, like Insurance or FinTech, that are bucking this trend and offering truly competitive national salaries regardless of the employee's zip code?
I work remote for a Manhattan firm from Florida. They did adjust my pay, but I’m still making more than any local Florida company offered.
Exactly, Carol. Even with a "reduction," the baseline for a NY or CA company is often so high that it still beats out local market rates in most of the country.
Steven, actually the smaller, Series B startups are your best bet for that. They don't have the HR infrastructure to manage complex geo-pay scales, so they often just pay a flat "market competitive" rate to get the best talent. Large banks and insurance companies are the ones most likely to stick to the traditional, location-adjusted pay brackets. I'd avoid the "Big Four" if you're looking for a single national salary rate.