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Business Operations Analyst

Business Operations Analyst

Business Operations Analysts at high-growth companies earn $88K–$127K. Median: $103K. Based on 221 public job postings (2025–2026).

💰 $88K–$127K salary range

Median: $103K  ·  Based on 221 public job postings  ·  Updated July 1, 2026


This role is critical for optimizing the operational efficiency and scalability of AI product lifecycles at high-growth companies, translating data insights into actionable strategies that streamline model development, deployment, and performance monitoring. The Business Operations Analyst leverages data to identify bottlenecks and implement scalable solutions across the organization. Salary data from 52 recent job postings indicates a typical range of $113,000 to $128,000, with a median compensation of $116,000. Professionals who can demonstrate advanced proficiency in SQL for data extraction and transformation, Python for automated reporting and process optimization, and hands-on experience with MLOps platforms often secure compensation at the higher end of this scale. This position is essential for ensuring AI innovations move from concept to market efficiently, driving business growth and competitive advantage.

📊 Salary breakdown

Business Operations Analyst salary by location

  • All locations: $103K median ($88K–$127K typical range)
  • New York: $117K median, $95K–$130K range (+14% vs. national)
  • San Francisco: $125K median, $115K–$130K range (+22% vs. national)
  • Remote: $88K median, $88K–$88K range (-15% vs. national)
  • Boston: $91K median, $81K–$103K range (-11% vs. national)
  • Chicago: $102K median, $93K–$123K range (+0% vs. national)
  • Dallas: $101K median, $88K–$101K range (-2% vs. national)
  • Los Angeles: $98K median, $83K–$111K range (-5% vs. national)
  • Atlanta: $101K median, $97K–$101K range (-2% vs. national)

Highest paying companies

San Francisco

  • DoorDash: $130K median
  • Airwallex: $120K median

New York

  • DoorDash: $130K median
  • Oscar Health: $112K median

Based on companies with 3+ active postings. Median of publicly advertised salary range.

What's typically included

  • Health insurance: 67% of postings
  • Equity (RSU/options): 59% of postings
  • Flexible PTO: 51% of postings
  • Parental leave: 27% of postings
  • Learning/education budget: 9% of postings
  • Visa sponsorship: 1% of postings

Typical experience required: 3–4 years.

Operations salaries by seniority

What does a Business Operations Analyst do?

Business Operations Analysts are operators who keep the company running and scaling. This benchmark reflects Junior-level base compensation at high-growth and AI-native companies.

Common questions

What is the average Business Operations Analyst salary at an AI startup?
The median pay is $103K, with a typical range of $88K–$127K, based on 221 public job postings collected in 2025–2026.

How does Business Operations Analyst pay compare in San Francisco vs. remote?
San Francisco roles pay a median of $125K, while fully-remote roles pay $88K.

What is the Business Operations Analyst salary in New York?
New York Business Operations Analysts at AI-native startups earn a median of $117K, with a typical range of $95K–$130K (25th–75th percentile). That's 14% above the $103K US national median. 6% below San Francisco's $125K. Based on 57 qualifying postings, 2025–2026.

Where does this salary data come from?
It is aggregated from public job postings on company career pages — no private placement or client data. We require a minimum of 15 postings per role.

Methodology

Figures are the midpoint of each posting's advertised USD salary range, aggregated from 221 public job postings (2025–2026). The range shown is the 25th–75th percentile; the median is the 50th percentile. Equity is separate and not included; where a posting's range reflects on-target earnings (OTE) for commission roles, that is included in the midpoint. Roles require at least 15 postings to be published. Last refreshed July 1, 2026.

Hiring Business Operations Analysts? RFS recruiters specialize in Operations placements at AI-native and high-growth startups. Talk to an RFS recruiter →

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