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Data Analysts at high-growth companies earn $90K–$140K. Median: $108K. Based on 25 public job postings (2025–2026).
A data analyst turns raw data into insights that drive business decisions — building dashboards, running ad hoc analysis, interpreting user behavior, and helping teams understand their metrics. At a startup, data analysts are often the first data hire: they establish reporting infrastructure, answer business questions with data, and democratize analytics across the organization.
Series A through Series B, when the company has enough data to analyze and enough open business questions that manual data pulls are consuming significant engineering or leadership time. The prerequisite: a data warehouse (BigQuery, Snowflake, or Redshift) with reliable event data. The analyst can't do their job without a foundation to query against.
Based on our database of 170 real postings, a Data Analyst typically earns a median salary of $130K. The salary range for this role generally falls between $108K and $152K. These figures reflect current market compensation for skilled Data Analysts.
Hiring a Data Analyst can vary, but our average time-to-hire for this role is approximately 29 days. This is significantly faster than the industry average, which typically ranges from 45 to 60 days. Our efficient process helps companies secure top talent quickly.
When hiring a Data Analyst, look for strong analytical and problem-solving skills, coupled with proficiency in tools like SQL, Python/R, and data visualization software. Beyond technical expertise, candidates should demonstrate curiosity, attention to detail, and the ability to communicate complex findings clearly. We advise prioritizing candidates who can translate data into actionable business insights.
To effectively assess a Data Analyst candidate, we recommend a multi-faceted approach that includes technical skill tests and case studies. These practical exercises reveal their ability to clean, analyze, and interpret real-world datasets. Additionally, behavioral interviews can gauge their problem-solving methodology, communication style, and cultural fit within your team.
The Data Analyst role has seen a significant shift towards remote work, though many companies still prefer hybrid or in-person arrangements. The suitability often depends on team collaboration needs and company culture. We find that successful placements occur in both remote and in-person settings, depending on the specific requirements of the organization.
Remote
Based on companies with 3+ active postings. Median of publicly advertised salary range.
Typical experience required: 2–3 years.
Data Analysts are data professionals who build the pipelines, models, and analytics the business runs on. This benchmark reflects Junior-level base compensation at high-growth and AI-native companies.
What is the average Data Analyst salary at an AI startup?
The median pay is $108K, with a typical range of $90K–$140K, based on 25 public job postings collected in 2025–2026.
How does Data Analyst pay compare in San Francisco vs. remote?
San Francisco roles pay a median of $180K, while fully-remote roles pay $108K.
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.
Figures are the midpoint of each posting's advertised USD salary range, aggregated from 25 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.
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