Data & Analytics in San Francisco
Competitive benchmarks and talent pool analysis for Data & Analytics hiring in San Francisco.
989+
Jobs tracked
472+
Employers
January 2026
Latest period
Benchmarks & Analysis
San Francisco Data & Analytics -- Employer Benchmarks
With a $205K median among the 34% of tracked roles disclosing salary ranges and Research Scientists reaching $251K, salary expectations are calibrated to SF market rates regardless of your company's l...
San Francisco Data & Analytics -- Employer Benchmarks
With ML Engineer roles at 40% of the market, competition for this talent is intense. Consider competitive packages and clear growth paths.
Competitive Hiring Benchmarks: Is Your Job Spec Aligned with the Market?
If your data engineer posting lists 20 required skills, the market median is 11. If you're offering onsite-only for an ML role, 74% of competing postings offer remote or hybrid.
Emerging Skills Radar: What Companies Are Actually Hiring For
The gap between what the AI conversation emphasises and what hiring managers actually screen for is wider than most people assume. LLM appears in 16% of descriptions while context engineering barely registers.
Fill Rate Intelligence: How Long Does It Actually Take to Hire?
The median time to fill is 33 days across all roles. Project managers fill fastest at 30 days. ML engineers take longest at 36. These benchmarks exist, but most hiring managers operate without them.
Hidden Job Families: The Roles Nobody Talks About
Project and programme managers together account for 4,229 postings -- 37% of all tracked roles. Analytics engineering, growth PM, and platform PM are substantial markets with distinct profiles that rarely feature in career advice.
Monthly Market Pulse: January-February 2026
Delivery management is surging while data and product roles cool. Project manager postings nearly doubled (+95%), while technical PM dropped 65% and data engineering fell 47%.
The Seniority Skills Ladder: How Skill Requirements Change as You Level Up
Leveling up is defined as much by what drops off your requirements as by what gets added. SQL drops 9 points from junior to senior. AI climbs 5 points. Seniority is a move from tools to judgment.
Skills Inflation Tracker: Are Employers Asking for More Than They Used To?
The skills inflation narrative is overstated. Average skills per posting held steady at 9.4-9.6 across all roles. AI skill demands have stabilised at roughly a third of all postings.
Talent Pool Sizing: Where the Demand Is and Who's Driving It
Google alone accounts for 9.4% of all programme manager postings. The data engineer market is so fragmented that no employer holds more than 2.1%. These concentration patterns shape hiring strategy.
Also in San Francisco
Data & Analytics in other cities
Want interactive dashboards and the full dataset?
Sign up for free to access the dashboard, job feed, and detailed reports.