Data Analyst Jobs in San Francisco, CA

Government wage data is very strong but slightly lagged: BLS puts the 2025 San Francisco metro median for data scientists at $170,110, with a 25th-75th range of $130,430 to $212,970. For operations research analysts, BLS shows a $171,440 local median and a $108,670 to $219,630 25th-75th range. Separately, the current local posting sample centers on about $165k to $231k, with a broader band of about $140k to $274k; that posting band is directional, not a metrowide wage census.

Full September 2026 market report

Advertised pay

Across the 355 openings that disclose pay, the advertised range midpoint runs $169,112 at the 25th percentile, $202,500 at the median and $246,825 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

This is still a high-pay market for Data, Analytics & AI, but it is not an easy one to break into. In the last 90 days, the local sample shows more than 800 postings across more than 450 companies, yet the mix skews experienced and only about 10% of roles are remote. The broader metro labor market is stable enough to support hiring, with unemployment at 4.6% in August, but the tech-adjacent backdrop is softer: metro Information employment was down 3.5928% year over year and Professional and Business Services was down 1.1787%. For this occupation family specifically, Revelio Public Labor Statistics shows California employment essentially flat year over year while active postings are up 38.2%, which points to open requisitions and strong competition arriving at the same time.

Best positioned: The best odds right now belong to candidates who already have shipped work in Python, SQL, and machine learning, can interview for senior-level scope, and are open to hybrid or on-site roles.

Main caution: The biggest mistake is assuming Bay Area pay means broad access; the market is well paid, but entry-level openings are a small share and remote-only options are scarce.

From the September 2026 market report

Who is hiring here

Counted across all 444 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Harmonic: 11 open roles
2. Anthropic Limited: 9 open roles
3. OpenAI Foundation: 8 open roles
4. PySpark: 6 open roles
5. Alex Loftus: 5 open roles
6. Capgemini: 5 open roles
7. Reflection: 5 open roles
8. Roblox Corporation: 5 open roles
9. Zoox: 5 open roles
10. 6sense: 4 open roles

Where the openings are

• San Francisco: 318
• San Mateo: 22
• Redwood City: 20
• Foster City: 14
• Oakland: 13
• South San Francisco: 9
• San Bruno: 6
• San Carlos: 6

Work arrangement

hybrid 198 (45%), on-site 194 (44%), remote 44 (10%)

Where the demand is

Most real opportunity is concentrated in tech-adjacent employers rather than in one obvious winner. In the local posting sample, software development accounts for about 35% of openings, technology about 30%, technology, information and internet about 10%, and financial services about 10%, with more than 800 postings spread across more than 450 companies. The same sample is fragmented across employers rather than dominated by a single firm, which makes targeted search strategy more useful than betting everything on a short list of famous brands. The second concentration is by seniority and work style. About 40% of openings are senior and another about 15% are lead+, while only about 10% are entry-level. Work location is also restrictive: about 45% of postings are on-site, about 45% hybrid, and only about 10% remote. That mix is favorable if you already have production experience and can commute; it is much tougher if you need fully remote or first-job access. There is still reason to be selective by sector. Metro Information employment was down 3.5928% year over year in August and Professional and Business Services was down 1.1787%, so the best targets are teams with a clear product, revenue, or operations use case for analytics instead of broad experimental AI hiring.

• Software and internet AI/ML teams (high): Best fit for candidates with production model, experimentation, and data-product experience.
• Financial services analytics (moderate): Good adjacent pocket for candidates who can connect analytics to risk, pricing, forecasting, or operations decisions.
• Remote-only generalist analyst roles (limited): Still viable, but materially tighter than hybrid or on-site search paths.

Where to focus: Prioritize upper-mid to senior roles in software, internet, and finance where you can show one combined story: strong technical execution plus business decision impact.

Roles worth searching next

• Marketing Analyst: Experiment design, segmentation, SQL, and dashboard work transfer well if you can connect analysis to growth or retention decisions.
• FP&A Analyst: Forecasting, scenario planning, and business storytelling map well from analytics backgrounds.
• Product Operations Manager: This is a good fit if your strength is turning messy data into operating decisions across product, support, and go-to-market teams.
• Revenue Operations Analyst: CRM analytics, pipeline reporting, experimentation, and process improvement all reward strong SQL and business reasoning.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 70% of local postings and is also called out as an in-demand local tool for data scientists and machine learning engineers. Who: Everyone in this category, especially applicants competing for analyst-to-ML ladders.
• SQL (table_stakes | immediate): SQL shows up in about 50% of local postings, which makes it the clearest baseline screen after Python. Who: Entry-level applicants, career switchers, and anyone whose recent work has been more modeling than data retrieval.
• Machine learning (differentiator | immediate): Machine learning appears in about 25% of local postings and remains one of the national demand themes called out in 2026 hiring guidance. Who: Mid-career candidates, applied scientists, and analysts trying to move upmarket.
• Causal inference (differentiator | near-term): Causal inference shows up in about 15% of local postings, which is unusually specific and suggests value for experimentation, product analytics, and decision-science work. Who: Candidates targeting decision science, experimentation, marketplace, or product-facing analytics roles.
• dbt (differentiator | near-term): dbt appears in about 10% of local postings, making it a useful bridge skill between pure analytics and analytics-engineering work. Who: Analysts who want better odds in hybrid analytics-engineering or modern BI environments.
• PyTorch (premium | near-term): PyTorch appears in about 10% of local postings and usually signals hands-on AI product or model-development work rather than reporting-only roles. Who: Candidates pursuing ML engineer or applied AI tracks.

Questions about this market

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

Government wage data is very strong but slightly lagged: BLS puts the 2025 San Francisco metro median for data scientists at $170,110, with a 25th-75th range of $130,430 to $212,970. For operations research analysts, BLS shows a $171,440 local median and a $108,670 to $219,630 25th-75th range. Separately, the current local posting sample centers on about $165k to $231k, with a broader band of about $140k to $274k; that posting band is directional, not a metrowide wage census. This is an unusually well-paid market. The local data scientist median is well above the national median of $120,230, and BLS reports computer and mathematical occupations at a mean $80.51 per hour in the metro versus $48.19 across all occupations.

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

Most real opportunity is concentrated in tech-adjacent employers rather than in one obvious winner. In the local posting sample, software development accounts for about 35% of openings, technology about 30%, technology, information and internet about 10%, and financial services about 10%, with more than 800 postings spread across more than 450 companies. The same sample is fragmented across employers rather than dominated by a single firm, which makes targeted search strategy more useful than betting everything on a short list of famous brands. The second concentration is by seniority and work style. About 40% of openings are senior and another about 15% are lead+, while only about 10% are entry-level. Work location is also restrictive: about 45% of postings are on-site, about 45% hybrid, and only about 10% remote. That mix is favorable if you already have production experience and can commute; it is much tougher if you need fully remote or first-job access. There is still reason to be selective by sector. Metro Information employment was down 3.5928% year over year in August and Professional and Business Services was down 1.1787%, so the best targets are teams with a clear product, revenue, or operations use case for analytics instead of broad experimental AI hiring.

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

Of recent postings, 10% 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.

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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