Data Analyst Salary in New York — 2026 BLS Data
Salary distribution
Percentile breakdown of Data Analyst base salaries in New York.
Data analyst salary in New York lands at $115K median base for 2026, with the 25th-to-90th-percentile spread running $90K to $215K. That’s BLS OEWS data (May 2024 release, SOC 15-2051 Data Scientists / 13-1199 Business Operations Specialists mapped to data analyst titles in the NY-Newark-Jersey City metro), and like most BLS numbers it’s base only. NYC data analysts working in finance, fintech, or large-platform ad tech routinely add 20-40% on top through bonus and equity. This guide breaks down where the spread comes from, how finance and ad-tech analyst comp differ in the city, and what to push for when an offer arrives.
How NYC data analyst salaries compare to other cities
NYC sits at or near the top of the national base-pay table for data analysts. The Bay Area edges ahead at the senior level — median Bay Area DA base is closer to $130K — but NYC’s $115K median outpaces Seattle ($108K), Boston ($102K), and Austin ($92K). The reason NYC holds up so well at the median is the sheer concentration of finance and fintech hiring, which compresses the bottom of the band upward. Even a mid-level analyst at a mid-tier bank or trading firm clears $100K base in the first two years.
Where NYC really pulls ahead is total compensation at the senior end. Levels.fyi data for the New York City Area shows senior data analyst base salaries ranging $130K to $215K, with LinkedIn’s NYC data analyst median total comp at $140,800 and Amazon NYC DA total comp clearing $229K at the top of the published band. Finance pushes those numbers further — a senior analyst at Citadel, Two Sigma, or Jane Street can see total cash north of $300K once bonus lands.
Remote-US data analyst roles cluster around $85-100K base. The gap between remote-US comp and NYC comp is wider for data analysts than it is for engineers or PMs, because most remote DA bands are anchored to a national midpoint and don’t get a NYC adjustment.
What drives the spread in NYC
Three industry layers explain why NYC data analyst comp has a wider spread than most cities.
Finance and fintech analyst premium. Analysts at investment banks, hedge funds, prop trading firms (Citadel, Two Sigma, Jane Street, DE Shaw), and Tier-1 fintechs (Stripe NYC, Plaid, Ramp, Brex, Goldman Sachs Marcus) command base salaries 25-40% above the BLS median. A senior data analyst at a quant fund will see $160-200K base plus a discretionary bonus that can equal or exceed base in a strong year. This is what pulls the 75th and 90th percentiles up so sharply — the BLS p90 of $215K is realistic mostly because of this layer.
Big-tech NYC offices and ad tech. Google, Meta, Amazon, and Microsoft staff sizable data analyst teams in Manhattan, and they pay close to their Bay Area bands. The ad-tech subsector (Spotify, Disney, NBC, the trade-desk-adjacent ecosystem, plus programmatic shops like Magnite and Criteo NY) sits a tier below FAANG but still pushes $120-160K base for mid-level BI and marketing analyst roles. These companies care about measurement, attribution, and experimentation — analysts who can write SQL fluently, build dashboards in Looker or Tableau, and design A/B tests command the top of this band.
Media, healthcare, and traditional enterprise. The lower half of the spread comes from NYC’s media houses (NYT, Hearst, Condé Nast), healthcare systems (Mount Sinai, NewYork-Presbyterian, NYU Langone), and traditional enterprise IT. Base salaries here run $75-100K with minimal bonus and no equity, which is why the 25th percentile lands at $90K despite the high-end stretch. Built In NYC pegs the citywide DA average around $87K once non-tech employers are included, which lines up with where this segment sits.
The result is a bimodal distribution: most NYC data analysts cluster around $95-130K base, but the top quartile gets pulled hard by finance bonuses and big-tech equity.
Total comp NYC data analyst
Base is the BLS number. The actual package looks different by industry.
Tech / big-tech NYC profile (median mid-to-senior DA):
- Base: $135K
- Target bonus: $14K (10% of base)
- Equity (annualized over 4-year vest): $30-60K
- Total: $180-210K
Equity is the swing factor. RSU refresh grants at Meta, Google, and Amazon NYC are sized to keep total comp in band as initial grants vest, so the headline number stays steady — but year 2 can feel like a pay cut if the refresh lands light or the stock dips. LinkedIn’s published NYC DA band of $118K-$130K+ is conservative on equity; the realized number tends to run higher when stock performs.
Finance / fintech profile (median mid-to-senior DA):
- Base: $150K
- Cash bonus: $50-120K (35-80% of base, discretionary)
- Equity: minimal (stock options if private fintech, none at banks)
- Total: $215-285K
Finance flips the ratio: heavy cash bonus, light equity. Bonus is paid in a single Q1 lump and tied to firm P&L plus your individual rating. It’s volatile — a soft year for the firm can cut your bonus in half — but it’s cash, not paper, and there’s no vest cliff to worry about.
Ad tech / media profile (median DA):
- Base: $110K
- Bonus: $8-15K (8-12% of base)
- Equity: $10-25K if public, options if private
- Total: $128-150K
This is the segment most exposed to layoffs and ad-spend cycles. Most of the “data analyst pay feels weak for NYC” complaints come from here, and it’s where the BLS p50 and the lived experience diverge most.
COL-adjusted
NYC’s cost-of-living index is 172.3 against a US baseline of 100. That means a $115K NYC base has roughly the same take-home purchasing power as $67K in a baseline-cost metro. Run the same math on total comp — the $150K 75th-percentile base is equivalent to about $87K in Austin or Raleigh after rent, taxes, and groceries.
The index averages across all consumption categories, and housing dominates the gap. Manhattan and brownstone-Brooklyn rent runs 250-300% of the national average, while groceries and transit are only modestly elevated. A junior analyst splitting a Brooklyn or Queens apartment with roommates and using the subway experiences an effective COL closer to 140-150, not 172. A senior analyst paying solo for a Manhattan one-bedroom is closer to 200.
For offer comparisons, always run the after-tax math. NY state + NYC city income tax adds roughly 10-11% combined at data analyst income brackets, which is meaningfully higher than Texas, Washington, or Florida (no state income tax). A $150K NYC offer nets roughly the same as a $130K Austin offer in take-home terms.
Negotiation playbook
Four moves that work in NYC data analyst negotiations:
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Anchor on total comp, broken out. Don’t accept the recruiter framing of “$130K.” Ask: “What’s the base, target bonus percentage, signing, and four-year equity grant?” Then check each component against Levels.fyi for your level at that company. Recruiters respect candidates who know the comp structure.
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Use the finance-vs-tech crossover. If you have an ad-tech offer and you’re interviewing at a bank (or vice versa), use the structural comp difference as leverage. “The fintech offered $135K base plus 30% target bonus — to match on total cash I need either base or signing to bridge.”
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Push for the senior title. The jump from Data Analyst to Senior Data Analyst at most NYC tech employers adds $25-40K total comp. If you’re already operating at the senior bar — owning a domain, mentoring juniors, presenting to leadership — push for the title change before negotiating dollars. It’s easier than convincing comp committee to break the band.
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Get the bonus calculation in writing. “Up to 20% target bonus” can mean a guaranteed payout or a heavily-clawed-back discretionary number. Ask for the historical payout range at your level over the last three years, and request the formula in writing. This matters more in finance, where bonus is the bulk of comp.
Analysts who do best on NYC negotiation are the ones with multiple live offers. With one offer the conversation is mostly base and signing. With two you can negotiate against the full package.
Caveats
The BLS OEWS dataset doesn’t have a clean “Data Analyst” SOC code — analysts get spread across 15-2051 (Data Scientists), 13-1199 (Business Operations Specialists), and 15-2031 (Operations Research Analysts). The percentiles above are blended toward the data-analyst job family but inherit some noise from adjacent titles. Levels.fyi and Built In NYC, which are title-filtered, tend to run 5-15% above the BLS p50 for the same metro.
The 2024 OEWS release reflects survey responses collected through May 2024, so by 2026 the data is roughly 18-24 months old. NYC data analyst comp has drifted up modestly since then on the strength of AI/ML-adjacent hiring (analysts who can prompt LLMs, run feature analyses, or support data-science workflows are commanding $10-20K premiums). Finance analyst comp has been flat to slightly down on compressed 2024-25 bonus pools.
NYC offices have also pulled back on remote work since 2024. Most new data analyst roles posted in Manhattan now require 3-5 days/week in-office, with finance the strictest (5-day RTO standard at most banks and trading firms by 2026). Price the commute into your effective hourly rate when comparing against a fully-remote role at a lower base — the math often favors remote once you add 90 minutes a day of subway time and the cost of office-day lunches.