700+ Data & Analytics Jobs in San Jose, CA

The cleanest local pay anchor is the data scientist occupation, not the whole category: BLS shows a median annual wage of $185,080 and mean pay of $212,760 in San Jose, with a 25th-percentile floor around $149,573. Proxy sources for neighboring sub-roles are lower, with San Jose data analysts at about $145,600 average total compensation and roughly $100,650 to $189,500, and Santa Clara business intelligence analysts at about $144,340 with roughly $80,750 to $167,500.

Full July 2026 market report

Advertised pay

Across the 624 openings that disclose pay, the advertised range midpoint runs $162,500 at the 25th percentile, $213,375 at the median and $250,000 at the 75th. These are advertised ranges, not earned pay.

Active openings as of September 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

San Jose is a strong but highly selective market for Data, Analytics & AI right now. The metro unemployment rate was 4.4% in June 2026, local data scientists earned a median $185,080 in May 2025, and the latest BLS release counted 6,060 employed data scientists in the metro. Over the last 90 days, the local market still showed more than 600 postings across more than 250 companies, while California Data, Analytics & AI postings were up 22.0% year over year even though statewide employment in the field was essentially flat. That is a good setup for proven candidates, but it usually means tougher screening and less room for generalists.

Best positioned: Your best odds are as a mid-to-senior candidate who can show Python, SQL, machine learning, and newer AI workflow skills, and who is open to on-site or hybrid work; local postings are about 40% mid-level, about 45% senior, about 60% on-site, and about 30% hybrid, with Python appearing in about 80% of postings.

Main caution: Do not mistake headline salaries for broad access: only about 10% of local openings are entry level and about 5% are remote.

From the July 2026 market report

Who is hiring here

Counted across all 712 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. TikTok USDS Joint Venture: 45 open roles
2. TikTok Inc.: 39 open roles
3. TikTok: 31 open roles
4. Apple, Inc.: 30 open roles
5. Google Inc: 26 open roles
6. Walmart Inc.: 21 open roles
7. NVIDIA Corporation: 20 open roles
8. Bytedance: 17 open roles
9. Intuit, Inc.: 16 open roles
10. SAP SE: 15 open roles

Where the openings are

• San Jose: 240
• Mountain View: 109
• Sunnyvale: 102
• Santa Clara: 88
• Palo Alto: 46
• Cupertino: 27
• Stanford: 18
• Menlo Park: 18

Work arrangement

on-site 474 (70%), hybrid 182 (27%), remote 21 (3%)

Where the demand is

Real opportunity is concentrated in big-tech, hardware, and adjacent enterprise data teams rather than a wide-open analyst market. Over the last 90 days, the local sample captured more than 600 postings across more than 250 companies, with the most consistently active employers including Apple, Inc., Capital One Group, Tesla, Google Inc, and General Motors Company. The hiring base is fragmented rather than winner-take-all, which is good for persistence but bad if you are only targeting a handful of prestige brands. Industry mix also tells you where to aim. The most-active segments in the local sample were software development (about 25%), technology (about 25%), computer hardware development (about 15%), financial services (about 10%), and retail (about 5%). About 25% of postings came from enterprise employers, which suggests many openings sit inside larger companies with formal hiring loops, cross-functional interviews, and stronger preference for proven scale experience.

• AI and data science inside tech and hardware firms (high): Software development and technology each make up about 25% of the local posting mix, with computer hardware development at about 15%.
• Financial-services analytics and model-risk teams (moderate): Financial services accounts for about 10% of the local mix, and firms such as Capital One Group show up among the most consistently active local hirers.
• Enterprise BI and decision support (moderate): About 25% of local postings come from enterprise employers, which favors candidates who can handle governance, stakeholder management, and cross-functional analytics in larger organizations.
• Remote-first junior analyst search (limited): This is the toughest corner of the market because only about 5% of postings are remote and about 10% are entry level.

Where to focus: Prioritize mid-to-senior roles inside tech, hardware, and financial-services companies where analytics ties directly to product, customer, or model performance, and apply broadly across the employer long tail rather than only to marquee AI labs.

Roles worth searching next

• Data Engineer: If you are strong in SQL, pipelines, and data modeling, this is a natural neighboring path into more engineering-heavy work; Bay Area salary data shows median posted pay around $214,500 for data engineers.
• Data Product Manager: Data product managers are showing up as a distinct 2026 path for people who can translate analytics into product decisions and roadmap choices.
• AI Model Auditor or Model Risk Analyst: AI model auditors are emerging as a distinct role as firms mature their AI governance practices.
• Privacy or Data Governance Analyst: California's 2026 privacy changes create more work around deletion flows, lineage, and automated-decision controls.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 80% of local postings, making it the clearest screening skill across analyst, science, and ML-flavored roles. Who: Everyone in this category.
• SQL (table_stakes | immediate): SQL shows up in about 40% of local postings and remains the core language for business-facing analytics even as AI tools automate some query drafting. Who: Entry-level candidates, switchers, and analysts moving toward product or BI work.
• Machine learning (differentiator | immediate): Machine learning appears in about 35% of local postings, and current market recovery is being led mainly by senior AI-fluent roles. Who: Mid-career candidates aiming above pure dashboard or reporting work.
• PyTorch and TensorFlow (premium | near-term): PyTorch appears in about 20% of local postings and TensorFlow in about 10%, while outside labor insights flag TensorFlow-type ML architecture skills as premium. Who: Candidates targeting applied ML, deep learning, or research-adjacent roles.
• LLM orchestration, vector databases, and MLOps (premium | immediate): Employers hiring data scientists in 2026 increasingly treat large-language-model APIs, vector databases, and MLOps frameworks as baseline modern-stack skills. Who: Mid-career candidates, switchers with engineering depth, and anyone aiming at AI-heavy openings.
• Data visualization and insight delivery (differentiator | near-term): Data visualization appears in about 10% of local postings, and AI is automating more routine prep and dashboard work, which raises the value of interpretation and decision support. Who: Analysts, BI candidates, and career switchers.

Questions about this market

What do Data, Analytics & AI roles pay in San Jose-Sunnyvale-Santa Clara, CA?

The cleanest local pay anchor is the data scientist occupation, not the whole category: BLS shows a median annual wage of $185,080 and mean pay of $212,760 in San Jose, with a 25th-percentile floor around $149,573. Proxy sources for neighboring sub-roles are lower, with San Jose data analysts at about $145,600 average total compensation and roughly $100,650 to $189,500, and Santa Clara business intelligence analysts at about $144,340 with roughly $80,750 to $167,500. This is a high-pay market, but much of the upside is concentrated in advanced data science and AI work. California's mean offered salary on new openings for the broader Data, Analytics & AI family was about $135,027 versus about $93,397 across all occupations, which supports the idea that this field still commands a premium even outside top-end metro roles.

Where is demand for Data, Analytics & AI roles in San Jose-Sunnyvale-Santa Clara, CA concentrated?

Real opportunity is concentrated in big-tech, hardware, and adjacent enterprise data teams rather than a wide-open analyst market. Over the last 90 days, the local sample captured more than 600 postings across more than 250 companies, with the most consistently active employers including Apple, Inc., Capital One Group, Tesla, Google Inc, and General Motors Company. The hiring base is fragmented rather than winner-take-all, which is good for persistence but bad if you are only targeting a handful of prestige brands. Industry mix also tells you where to aim. The most-active segments in the local sample were software development (about 25%), technology (about 25%), computer hardware development (about 15%), financial services (about 10%), and retail (about 5%). About 25% of postings came from enterprise employers, which suggests many openings sit inside larger companies with formal hiring loops, cross-functional interviews, and stronger preference for proven scale experience.

Which employers are hiring the most Data, Analytics & AI talent in San Jose-Sunnyvale-Santa Clara, CA?

Recent postings show the most activity from Apple, Inc. (30 postings), Capital One Group (20 postings), Tesla (20 postings), Google Inc (20 postings), General Motors Company (15 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in San Jose-Sunnyvale-Santa Clara, CA be done remotely?

Of recent postings, 5% 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.

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