Data Analyst Jobs in Los Angeles, CA

The strongest observed local pay anchor is BLS data scientist pay: median $129,740, 25th percentile $91,350, 75th percentile $168,420, and 90th percentile $208,280 in 2025. Current posted ranges in the local sample center on about $122k to $180k, with a broader 25th-75th band of about $95k to $224k; California new-opening offered pay averages about $140,208, but that figure is a sample-weighted mean from new postings, not a metro median.

Full September 2026 market report

Advertised pay

Across the 222 openings that disclose pay, the advertised range midpoint runs $113,903 at the 25th percentile, $148,325 at the median and $181,250 at the 75th. These are advertised ranges, not earned pay.

Active openings as of November 10, 2026

Senior roles | Entry level | Remote | Posted this week

Live from the Callings.ai index of over 13 million postings, refreshed hourly and re-checked here nightly. Roles that close are dropped at the next refresh.

Showing 30 of 250+ openings.

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What our analysts see this month

Competitive market | next 3-6 months

Los Angeles is still a worthwhile market for Data, Analytics & AI, but it is not an easy one. California-wide postings in this category were up 38.2% year over year in September 2026 while statewide employment in the category was essentially flat, which usually means more visible openings without equally broad headcount expansion. Locally, the metro unemployment rate was 4.8% in August 2026, but two major employer bases for these roles were softer: Information employment fell 6.0681% year over year and Professional and Business Services fell 0.9355%. Expect strong pay and real demand, but most openings skew toward mid and senior talent and toward on-site or hybrid work.

Best positioned: Candidates with proven Python and SQL depth, plus business-facing work in retail, healthcare, or consulting, have the best odds right now.

Main caution: The biggest mistake is reading rising postings as easy access; only about 15% of sampled openings are entry level and only about 10% are remote.

From the September 2026 market report

Who is hiring here

Counted across all 262 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Riot Games, Inc.: 8 open roles
2. Anduril Industries, Inc.: 5 open roles
3. Scale Media, Inc.: 5 open roles
4. Boeing Aerostructures Australia Pty: 4 open roles
5. AbbVie: 3 open roles
6. Disney: 3 open roles
7. HDR, Inc.: 3 open roles
8. Ravh IT: 3 open roles
9. Tech Ladies®: 3 open roles
10. Tiger Analytics: 3 open roles

Where the openings are

• Los Angeles: 85
• Irvine: 39
• El Segundo: 14
• Santa Monica: 13
• Long Beach: 11
• Pasadena: 11
• Costa Mesa: 10
• Beverly Hills: 9

Work arrangement

on-site 161 (63%), hybrid 73 (28%), remote 23 (9%)

Where the demand is

Real opportunity in Los Angeles is spread across a long tail rather than a few dominant employers. Over the last 90 days, the local sample captured more than 300 postings across more than 200 companies, and hiring was fragmented rather than concentrated in one or two firms. The most-active industries in the sample were software development at about 20%, retail at about 15%, IT services and consulting at about 10%, hospitals and health care at about 10%, and technology at about 10%. That mix matters because it means the market is not just pure tech firms hiring data talent. Many openings sit inside operating businesses that want analytics tied to revenue, merchandising, operations, service delivery, or client work. The most consistently active named employers in the sample were Dataroles with more than 20 postings and Deloitte with around 10, but the broader pattern is still widely distributed across employers.

• Consulting and enterprise analytics (high): A good fit for candidates who can combine Python or SQL depth with stakeholder communication and client-facing problem solving.
• Retail and consumer analytics (high): One of the larger visible pockets locally, especially for candidates who can connect forecasting, experimentation, and dashboards to business decisions.
• Healthcare analytics (moderate): A practical path for analysts who can handle reporting, quality, operations, or patient-flow style work inside hospital and care settings.

Where to focus: Target mid-level hybrid roles closest to business decisions in consulting, retail analytics, and healthcare analytics, not just pure research titles.

Roles worth searching next

• Business analyst / management analyst: This path uses structured problem solving, reporting, and stakeholder communication close to analytics work, and a local proxy estimate places median pay around $104,930 in Los Angeles.
• Data architect: National demand also rose for data architects alongside AI and data hiring, making this a logical move for candidates strongest in modeling, governance, and structure rather than analysis delivery.
• Python developer: National demand also rose for Python developers, giving analytically strong candidates a neighboring software path when analytics openings stall.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 70% of sampled local postings, making it the clearest baseline screen across analyst, data scientist, and AI-oriented roles. Who: Everyone in this category, especially entry-level and career-switching candidates.
• SQL (table_stakes | immediate): SQL shows up in about 55% of sampled local postings and remains central to day-to-day analytics work. Who: Everyone except candidates targeting very research-heavy niches.
• Machine learning (premium | near-term): Machine learning appears in about 30% of sampled local postings, and employers report AI and machine-learning skill gaps more often than data engineering and analytics gaps. Who: Mid-career analysts and data scientists who want to move upmarket on pay.
• Tableau / Power BI / data visualization (differentiator | immediate): Tableau appears in about 25% of sampled postings, while Power BI and data visualization each appear in about 15%, making dashboard communication a practical edge in mixed analyst roles. Who: Entry-level candidates and switchers aiming at BI, reporting, or business-facing analytics jobs.
• Communication plus domain knowledge (differentiator | immediate): Communication, Python, SQL, and computer science recur across AI and data paths, and domain knowledge is increasingly treated as a differentiator rather than a bonus. Who: Mid-career candidates and switchers who can translate prior industry experience into analytics value.
• AWS Certified Machine Learning Engineer – Associate (differentiator | near-term): Locally, AWS certification is mentioned in less than 5% of sampled postings, so it is not table stakes, but the updated exam opened on September 1, 2026 and can help for cloud-heavy ML roles. Who: Candidates already leaning toward ML deployment or cloud-based applied AI work.

Questions about this market

What do Data, Analytics & AI roles pay in Los Angeles-Long Beach-Anaheim, CA?

The strongest observed local pay anchor is BLS data scientist pay: median $129,740, 25th percentile $91,350, 75th percentile $168,420, and 90th percentile $208,280 in 2025. Current posted ranges in the local sample center on about $122k to $180k, with a broader 25th-75th band of about $95k to $224k; California new-opening offered pay averages about $140,208, but that figure is a sample-weighted mean from new postings, not a metro median. That is strong pay by national standards, since the U.S. median for data scientists was $120,230 in 2025, but Los Angeles housing costs remain high, with the local home price index at 446.0236151245 in July 2026 and up 1.0% year over year.

Where is demand for Data, Analytics & AI roles in Los Angeles-Long Beach-Anaheim, CA concentrated?

Real opportunity in Los Angeles is spread across a long tail rather than a few dominant employers. Over the last 90 days, the local sample captured more than 300 postings across more than 200 companies, and hiring was fragmented rather than concentrated in one or two firms. The most-active industries in the sample were software development at about 20%, retail at about 15%, IT services and consulting at about 10%, hospitals and health care at about 10%, and technology at about 10%. That mix matters because it means the market is not just pure tech firms hiring data talent. Many openings sit inside operating businesses that want analytics tied to revenue, merchandising, operations, service delivery, or client work. The most consistently active named employers in the sample were Dataroles with more than 20 postings and Deloitte with around 10, but the broader pattern is still widely distributed across employers.

Which employers are hiring the most Data, Analytics & AI talent in Los Angeles-Long Beach-Anaheim, CA?

Recent postings show the most activity from Dataroles (20 postings), Deloitte (10 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Los Angeles-Long Beach-Anaheim, CA be done remotely?

Of recent postings, 10% are remote and 30% hybrid, with 60% on-site. Use the Remote filter above to see only remote openings.

How current are these listings?

Openings come from the Callings.ai live index of over 13 million jobs, refreshed hourly. This page searches postings from the last 30 days; run the search yourself to filter by anything else in plain language.

Browse California openings by job title

• Software Engineer: 960 open roles statewide
• General Manager: 528 open roles statewide
• Project Manager: 392 open roles statewide
• Product Manager: 379 open roles statewide
• Program Manager: 326 open roles statewide
• Technical Program Manager: 265 open roles statewide
• Senior Software Engineer: 206 open roles statewide
• Staff Software Engineer: 156 open roles statewide
• Engineering Manager: 146 open roles statewide
• Senior Manager: 129 open roles statewide
• Associate Director: 92 open roles statewide
• Senior Product Manager: 84 open roles statewide

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