Data Analyst Salary in Los Angeles — 2026 BLS Data
Salary distribution
Percentile breakdown of Data Analyst base salaries in Los Angeles.
The $100K median base for a data analyst in Los Angeles is accurate as a market midpoint — and almost useless as a benchmark for your specific situation. BLS OEWS May 2024 data for the Business Intelligence Analysts occupational family (SOC 15-2051) shows a P25-to-P90 spread that nearly doubles from one end to the other, and the Los Angeles market layers on additional complexity that most salary calculators ignore: five distinct industry ecosystems operating by different pay norms, a cost-of-living premium that erodes purchasing power faster than the headline number implies, and an entertainment/media sector that consistently underpays relative to tech for identical analytical skill sets. What the median hides is almost more important than what it says.
What the $100K median actually covers
The BLS OEWS May 2024 national data for the BI Analyst/Data Analyst occupation cluster shows P25 at $82,630, P50 at $112,590, and P90 at $194,410. The Los Angeles-Long Beach-Anaheim metropolitan statistical area carries a wage premium of roughly 12% over the national average across all occupations (BLS OEWS May 2024 MSA release: LA mean hourly wage $36.64 vs. national $32.66). For data analyst roles specifically, that premium compresses somewhat at the lower end of the distribution — a large portion of entry-level and junior analyst positions in LA sit in entertainment, healthcare, and local government, which pay below the tech sector regardless of geography.
The result is a local distribution that looks like this in practice:
- P25 ($85K): Entry-level analysts at entertainment studios, healthcare systems, or municipal agencies with 0–2 years of experience. SQL plus Excel, reporting into a business unit, limited exposure to Python or modern data stack tooling.
- P50 ($100K): Mid-level analysts at media companies, regional SaaS, financial services, or larger healthcare networks. Proficient in SQL, BI tools (Tableau, Looker, Power BI), some Python or R, 2–5 years of experience.
- P75 ($128K): Senior analysts at tech-adjacent companies — ad tech, streaming platforms, fintech, e-commerce — or mid-level at Google, Amazon, or Netflix’s LA offices. Data stack fluency expected: dbt, Airflow, Snowflake or BigQuery.
- P90 ($162K): Lead or principal analysts at FAANG-adjacent employers, senior analytics engineers at high-growth SaaS, or quantitative analysts at financial firms. SQL plus Python/R plus statistics, often with exposure to A/B testing frameworks or ML feature pipelines.
The spread from P25 to P90 is $77K — 91% above the floor. That’s not noise. It reflects real structural differences in employer type, not just years of experience.
Hub comparison: how LA stacks up against other major markets
Los Angeles data analysts earn materially less than their San Francisco counterparts but more than Dallas, Austin, or the national median. Based on BLS OEWS May 2024 metro-level data cross-referenced with salary aggregator data:
San Francisco Bay Area: P50 sits around $120K–$130K base, with P90 pushing $185K–$210K. FAANG and AI lab density pulls the entire distribution upward. A mid-level analyst at Google Mountain View earns what a senior analyst earns in LA.
Los Angeles: P50 around $100K, P90 around $162K. Lower than SF but higher than the national median of $112K quoted in national BLS releases, because LA’s tech and media density still exceeds most metros.
Seattle: Broadly comparable to LA at P50, slightly higher at P90, driven by Amazon and Microsoft anchor effects on the local comp market.
Austin and Dallas: P50 in the $80K–$90K range. The gap versus LA narrows when adjusted for cost of living (more on that below), but the absolute numbers are lower even at FAANG offices in Texas.
New York City: P50 around $105K–$115K, higher at finance-adjacent firms (Goldman, Citadel, Two Sigma). For general data analyst roles, NYC and LA trade places depending on whether you weight finance-sector jobs heavily.
The practical implication: if you are choosing between an LA offer and a remote role benchmarked to “national” pay, that remote offer needs to clear at least $92K–$95K to match the LA midpoint on a like-for-like basis, before COL adjustments.
What drives the spread: company tier, level, and specialty
Three factors explain nearly all of the $77K gap between P25 and P90 in the Los Angeles market.
Company tier
LA’s data analyst employer universe is effectively five tiers with distinct pay norms:
Tier 1 — FAANG and streaming tech (Google, Amazon, Netflix, YouTube/Alphabet): Google’s Playa Vista and Santa Monica offices pay LA-based analysts $130K–$180K base at L4–L5 equivalent, close to their Bay Area bands. Netflix famously publishes a public salary calculator; data analyst roles sit $120K–$200K depending on scope. These are the benchmark employers that pull up the P90 line.
Tier 2 — Scaled tech and ad tech (Snap, Hulu, Riot Games, Tinder/Match, Ticketmaster/Live Nation): Snap (Culver City) and Riot Games (Santa Monica) pay $110K–$160K base for senior data analyst roles per Blind and Levels.fyi reports from 2024–2025. Bonuses and RSUs are real but smaller than FAANG.
Tier 3 — Entertainment and media (Disney, Warner Bros. Discovery, Sony, Paramount, NBCUniversal): The entertainment giants employ thousands of analysts but pay below tech equivalents. Senior analyst roles at Disney or Warner Bros. typically land $95K–$138K base, per Blind submissions. The tradeoff is job stability, benefits, and for some roles, union protections — but the ceiling is lower.
Tier 4 — Healthcare, finance, and insurance (Kaiser Permanente, Cedars-Sinai, US Bank, AIG): LA is one of the largest healthcare employer markets in the country. Kaiser Permanente senior BI analyst roles run $101K–$110K base per recent Blind data. Solid total comp with benefits but modest equity upside.
Tier 5 — Government, nonprofits, and education (LA County, UCLA, USC, smaller agencies): Salaries typically $70K–$90K for analyst roles. Pension and benefits partially compensate, but annual base is well below the market median.
Level
The BLS SOC code lumps everyone from a brand-new junior analyst to a principal analytics lead into one occupation. The actual level spread in LA:
- Junior Data Analyst (0–2 years): $65K–$82K
- Data Analyst (2–4 years): $85K–$108K
- Senior Data Analyst (4–7 years): $108K–$145K
- Lead / Principal Data Analyst (7+ years): $145K–$185K+
Moving from “Data Analyst” to “Senior Data Analyst” on the title is worth roughly $25K–$35K in LA — the single largest comp lever available without changing employers.
Specialty
Not all data analyst work pays the same. In the LA market:
- Product analytics / experimentation: Commands a 15–25% premium over generic reporting roles. Companies like Snap and Tinder pay product analysts closer to their engineering bands.
- Marketing analytics: Roughly at the market median. Large demand from e-commerce and entertainment marketing departments keeps supply and demand balanced.
- Financial / revenue analytics: 10–20% above median, driven by finance-sector demand. Strongest at insurance, fintech, and streaming companies where revenue modeling directly informs pricing.
- Healthcare analytics: Generally 5–10% below the overall median despite high demand, because healthcare employers have historically benchmarked against a broader “analyst” category rather than tech-specific bands.
Total compensation: base, bonus, and equity
The $100K median base is a starting point, not total comp. For a mid-level data analyst at a typical LA tech or media employer, the full picture in 2026:
Base salary: $100K. The BLS-tracked number. This is the number on your W-2 and the number that determines your bonus and equity grant percentages at most employers.
Target cash bonus: ~$7K. Most non-FAANG LA employers pay data analysts a 5–10% annual bonus. Entertainment companies often structure these as discretionary rather than formula-based, which means actual payouts vary. FAANG and Tier-2 tech companies target 8–15% of base with cleaner performance linkage.
Annualized equity: ~$8K. This is where LA data analyst comp diverges sharply by employer type. At FAANG, a mid-level data analyst might receive $80K–$120K in a four-year RSU grant (~$20K–$30K annualized). At an entertainment studio, equity is often nonexistent or nominal. At a pre-IPO startup, equity is theoretical. The $8K figure represents the market average across all employer types, including the large proportion of LA data analyst roles that carry no meaningful equity.
Total midpoint all-in: roughly $115K. The Blind/Teamblind dataset for Greater Los Angeles Area data science and analytics roles shows a median total comp of $131K — that figure includes more senior roles and skews toward tech employers, so the $115K all-in for a true mid-level benchmark is the more conservative and accurate number for most candidates.
At senior level (P75), the breakdown shifts: $128K base, $12K–$18K bonus, and $15K–$35K annualized equity at a tech employer — totaling roughly $155K–$181K. That aligns with Blind’s reported $159K at the 70th percentile for LA analytics roles.
Cost-of-living adjusted reality
Los Angeles carries a cost-of-living index of approximately 148 against a US average of 100 (C2ER/BestPlaces methodology, 2024 data). The primary driver is housing: LA housing costs run roughly 130–135% above the national average, meaning the rent or mortgage payment that requires $1,500/month nationally requires $3,500–$3,700/month in a comparable LA neighborhood. Transportation costs run about 38% above national average, groceries about 9% above.
The purchasing-power math for a $100K LA base salary is sobering: COL-adjusted, it has the equivalent purchasing power of about $67,500 at the national average. The same standard of living a $100K LA analyst maintains would cost roughly $67,500 in a median-COL US city like Columbus, Cincinnati, or Raleigh. Flipped: to match LA analyst purchasing power, a remote-US role needs to pay only about $67,500 if the analyst relocates to a median-COL city — a significant lifestyle arbitrage that explains why remote-first data analyst roles now draw heavy applications from LA-based candidates even when the posted salary looks lower.
Against other expensive markets: San Francisco’s COL index sits around 178–179. A $120K SF data analyst base has roughly the same purchasing power as a $100K LA base — SF pays more but costs more. Seattle’s COL index is around 138, making Seattle data analyst salaries (similar to LA in absolute terms) slightly more valuable in purchasing power. Austin clocks around 119: a $90K Austin base analyst is living better than a $100K LA analyst on a pure purchasing-power basis.
The LA-specific wrinkle that aggregators understate: car ownership is effectively mandatory for most LA analyst jobs. The median LA commute involves driving; public transit reaches only a fraction of the employer hubs (Playa Vista, Culver City, Century City, Burbank, El Segundo). Parking, insurance, and vehicle depreciation add $4,000–$8,000 in annual costs that a New York or Boston analyst doesn’t carry. Budget accordingly when comparing offers.
Three-lever negotiation playbook
Los Angeles data analyst negotiations have three specific levers worth targeting:
Lever 1: Anchor to the tech-sector band, not the entertainment-sector band. The single most common mistake LA data analysts make is accepting a comp benchmark from a studio or healthcare employer as representative of “LA market.” It isn’t. If you have SQL proficiency, BI tool fluency, and any modern data stack experience (dbt, Airflow, Looker, BigQuery/Snowflake), your relevant comp peer group is Tier-2 tech — Snap, Riot, Hulu, ad tech — not Warner Bros. or a hospital system. The difference at P50 is roughly $15K–$25K in base alone. In the first recruiter call, ask which market the company benchmarks its comp to: “Do you use a tech peer group or a broader industry survey?” The answer tells you the ceiling before you’ve received a number.
Lever 2: Push title before number. California SB 1162 requires employers with 15+ employees to post salary ranges on job listings — the posted range is now negotiating information, not private. Before countering on base, request clarity on the title level: if the job description mentions owning a data pipeline, building dashboards from scratch, or mentoring junior analysts, the scope is Senior Data Analyst, not Data Analyst. Getting the title right before negotiating the base number is worth $20K–$35K at most employers and costs nothing to ask. “Based on the scope — owning X, mentoring Y, and working across Z teams — it sounds like this is a Senior DA scope. Is there flexibility to title it at that level?” Almost all recruiters will either confirm the senior title exists or explain why it doesn’t, and either way you’ve gathered information before revealing your number.
Lever 3: Use California’s pay transparency law to identify the midpoint, then target the 65th–75th percentile. Most LA employers posting ranges set the midpoint at what they expect to pay a fully-qualified hire. If the posted range is $85K–$130K, the midpoint is ~$107K. A candidate with 3–4 years of relevant experience and a clean pipeline of interviews should target $115K–$120K (roughly the 65th–70th percentile of that range) on the first counter, not $130K. Asking for the top of the posted range on the first counter signals inexperience with how offer bands work; targeting the 65th–75th percentile signals market awareness and tends to land $5K–$15K above the initial offer without triggering a restart. If you have a competing offer, bring it to the second call — LA recruiters respond faster to competing offers than to any other lever because the talent pool for senior analysts with production data stack experience is genuinely tight in 2026.
Data caveats
A few limitations worth knowing before you treat any of these numbers as precise:
BLS OEWS excludes equity entirely. The national BLS figures used to anchor this analysis (P25=$82,630, P50=$112,590, P90=$194,410 for the BI/Data Analyst family) capture only W-2 wages. At Tier-1 and Tier-2 tech employers, equity adds 15–35% to total comp for mid-level analysts; the BLS number understates those roles significantly.
The occupation code is a wide bucket. SOC 15-2051 covers everyone from a junior marketing analyst running weekly Excel pivot reports to a senior product analytics lead running Bayesian experimentation frameworks on a petabyte data warehouse. The percentile spread reflects that heterogeneity, not just seniority.
Metro-level BLS data lags by 18–24 months. The May 2024 release reflects wages as of May 2024. Real-time offer data from Blind and Levels.fyi runs 12–18 months more current, which matters in a market where FAANG base bands moved 8–12% between 2023 and 2025. Cross-reference BLS percentiles with posted California salary ranges and Levels.fyi for the specific employer.
Aggregator medians conflate industries. Glassdoor, Indeed, and ZipRecruiter pool entertainment, healthcare, tech, and government roles into a single “Data Analyst in Los Angeles” figure. That number — typically reported as $85K–$100K — correctly represents the overall market but understates what a tech-sector candidate should expect. Filtering by employer type before using an aggregator benchmark produces a more actionable number.
For most working data analysts evaluating LA offers in 2026, the practical framework is: BLS P50 ($100K) as a sanity floor, Salary.com or Levels.fyi P75 ($128K) as the target for a senior-qualified candidate at a tech employer, and a posted California salary range as the real-time check on whether the employer’s internal band aligns with the market. Triangulate those three before your first negotiation call — the preparation gap between candidates who do and don’t run this exercise is usually visible to recruiters within the first five minutes.