500+ Data & Analytics Jobs in San Francisco, CA

Observed local posting ranges center on about $165k to $229k, with a broader 25th-75th band of about $133k to $279k. Government-linked metro wage summaries in the source set also place data scientists at $170,110 median and $174,830 mean in the latest May 2025 release cited here. Estimated and company-reported proxies are wider: a mid-level data analyst is benchmarked at about $150,000, while Bay Area data-scientist compensation reports stretch from roughly $180,664 to $342,688 when equity-heavy packages are included.

Full July 2026 market report

Advertised pay

Across the 385 openings that disclose pay, the advertised range midpoint runs $161,200 at the 25th percentile, $198,000 at the median and $246,000 at the 75th. These are advertised ranges, not earned pay.

Active openings as of September 6, 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

This is still a real market for Data, Analytics & AI, but it is not an easy one. California postings for the field are up 22.0% year-over-year while statewide employment in the occupation is essentially flat, which usually means more open requisitions without a broad expansion in seats. In the metro, total nonfarm employment is up 0.5982% year-over-year, but Information employment is down 1.0720% and Professional and Business Services is essentially flat, so employers are hiring selectively rather than broadly. Local postings also skew heavily to experienced talent, with about 10% entry-level and salary bands centered on about $165k to $229k.

Best positioned: You have the best odds right now if you already have several years of experience and can show Python, SQL, machine learning, and experimentation or causal-inference work in a domain like software, financial services, or healthcare.

Main caution: The biggest trap is assuming an "AI market" means abundant remote junior roles; only about 15% of postings are remote and only about 10% are entry-level.

From the July 2026 market report

Who is hiring here

Counted across all 506 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Neura Market: 11 open roles
2. Genentech, Inc.: 7 open roles
3. Harmonic: 7 open roles
4. OpenAI, Inc.: 7 open roles
5. PySpark: 7 open roles
6. AI Breaking Wire: 6 open roles
7. Precision Labs: 6 open roles
8. Agoda: 5 open roles
9. AI Chopping Block, Inc.: 5 open roles
10. Google Inc: 5 open roles

Where the openings are

• San Francisco: 360
• Oakland: 22
• San Mateo: 21
• Berkeley: 13
• South San Francisco: 13
• Redwood City: 11
• Foster City: 10
• Alameda: 7

Work arrangement

hybrid 220 (44%), on-site 219 (44%), remote 57 (11%)

Where the demand is

Opportunity is broad, but not evenly distributed. We observed more than 850 postings across more than 500 companies in the last 90 days, and the employer base is fragmented rather than dominated by a few firms. The named employers showing up most often include CVFine, Experimentation Elite, Genentech, Inc., Chime Enterprise, Plank, Anthropic Limited, OpenAI, Inc., and Clerawindows. Industry mix matters more than raw volume. About 35% of local postings are in software development, about 30% in technology, about 10% in financial services, and about 5% in healthcare. The skill mix points to product analytics, experimentation, and applied ML more than generic reporting: Python appears in about 70% of postings, SQL in about 45%, machine learning in about 30%, causal inference in about 15%, PyTorch in about 15%, data visualization in about 10%, and A/B testing in about 10%. That makes this a better market for candidates who can connect data work to product growth, risk, commercial decisions, or research workflows. It is a weaker market for generalists who only show dashboarding or spreadsheet work without Python, experimentation, or AI-adjacent workflow fluency.

• Product analytics and experimentation (high): Roles using Python, SQL, causal inference, and A/B testing sit close to the center of local demand, and Experimentation Elite appears among the more active named employers.
• Applied AI and advanced data science (moderate): Anthropic Limited and OpenAI, Inc. appear among active local hirers, and a local BI listing already asks for AI/LLM tools in reporting workflows, but these roles usually sit above junior level.
• Domain analytics in fintech and healthcare (moderate): Financial services account for about 10% of the local posting mix and healthcare about 5%, with Genentech, Inc. and Chime Enterprise among the named active employers.

Where to focus: Focus first on hybrid mid-level roles where you can show Python plus SQL depth and at least one of experimentation, causal inference, or applied ML tied to a business domain.

Roles worth searching next

• Product Operations Analyst: Local demand for A/B testing, causal inference, and data visualization overlaps heavily with product-ops work.
• Revenue Operations Analyst: The same SQL, dashboarding, and business-decision support skills valued in analytics map well into revenue operations work.
• Risk or Fraud Analyst: Financial services make up about 10% of local posting mix, and the local skill pattern rewards SQL, machine learning, and decision-oriented analysis.
• Commercial Analytics Manager in Biotech or Pharma: Genentech, Inc. appears among active local employers, healthcare is present in the local mix, and a Gilead Bay Area role shows how strong senior analytics pay can get in life sciences.
• FP&A or Business Analyst: Broader analyst guidance still centers on SQL, Excel, and visualization, which gives analytics candidates a usable adjacent lane when pure data roles stall.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 70% of local postings, making it the closest thing to a default technical language in this market. Who: Everyone except narrowly scoped reporting candidates.
• SQL (table_stakes | immediate): SQL appears in about 45% of local postings and remains core in broader analyst guidance, so it is still a screening skill, not a nice-to-have. Who: All analyst, BI, decision-science, and product-analytics applicants.
• Machine learning (differentiator | near-term): Machine learning appears in about 30% of local postings, and national research says senior, AI-fluent roles are driving nearly all recent rebounds in technical hiring. Who: Mid-career analysts moving toward data science or AI-adjacent work.
• Causal inference and A/B testing (premium | immediate): Causal inference appears in about 15% of local postings and A/B testing in about 10%, a strong sign that employers want people who can measure decisions, not just report them. Who: Product analytics, growth, experimentation, and decision-science candidates.
• AI/LLM workflow tools (differentiator | near-term): A Bay Area BI role explicitly mentions using AI/LLM tools to improve reporting workflows, showing that analytics jobs are being redefined around automation and prompt-enabled work. Who: Analysts and BI candidates who need a current, non-generic value story.
• Data visualization and Tableau-style storytelling (table_stakes | immediate): Data visualization appears in about 10% of local postings, and broader analyst guidance still treats Tableau-style communication as a core skill. Who: Entry-level candidates, BI applicants, and career switchers.

Questions about this market

What do Data, Analytics & AI roles pay in San Francisco-Oakland-Fremont, CA?

Observed local posting ranges center on about $165k to $229k, with a broader 25th-75th band of about $133k to $279k. Government-linked metro wage summaries in the source set also place data scientists at $170,110 median and $174,830 mean in the latest May 2025 release cited here. Estimated and company-reported proxies are wider: a mid-level data analyst is benchmarked at about $150,000, while Bay Area data-scientist compensation reports stretch from roughly $180,664 to $342,688 when equity-heavy packages are included. This is one of the best-paying U.S. markets for the field, but local living costs are also 15.6% above the national baseline, so headline pay overstates the lifestyle advantage.

Where is demand for Data, Analytics & AI roles in San Francisco-Oakland-Fremont, CA concentrated?

Opportunity is broad, but not evenly distributed. We observed more than 850 postings across more than 500 companies in the last 90 days, and the employer base is fragmented rather than dominated by a few firms. The named employers showing up most often include CVFine, Experimentation Elite, Genentech, Inc., Chime Enterprise, Plank, Anthropic Limited, OpenAI, Inc., and Clerawindows. Industry mix matters more than raw volume. About 35% of local postings are in software development, about 30% in technology, about 10% in financial services, and about 5% in healthcare. The skill mix points to product analytics, experimentation, and applied ML more than generic reporting: Python appears in about 70% of postings, SQL in about 45%, machine learning in about 30%, causal inference in about 15%, PyTorch in about 15%, data visualization in about 10%, and A/B testing in about 10%. That makes this a better market for candidates who can connect data work to product growth, risk, commercial decisions, or research workflows. It is a weaker market for generalists who only show dashboarding or spreadsheet work without Python, experimentation, or AI-adjacent workflow fluency.

Which employers are hiring the most Data, Analytics & AI talent in San Francisco-Oakland-Fremont, CA?

Recent postings show the most activity from CVFine (15 postings), Experimentation Elite (10 postings), Genentech, Inc. (10 postings), Chime Enterprise (10 postings), Plank (10 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in San Francisco-Oakland-Fremont, CA be done remotely?

Of recent postings, 15% are remote and 45% hybrid, with 45% 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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