Are data analysts in demand?
Yes. Data analysts remain a widely posted role across industries, because every function that keeps records needs someone to query them. The title competes with business intelligence analyst, analytics engineer and data scientist for overlapping work, so demand is spread across several names. Postings typically ask for SQL first, then a spreadsheet or business intelligence tool.
Whether that demand is enough depends on who is asking. For a candidate, analyst titles are one of the more crowded entry points into data work, because the tooling is learnable and the title is broad, so the useful question is not whether analysts are in demand but where: which industries, which seniority levels and which specializations. For an analytics vendor or a recruiter, the same spread is the opportunity, since analyst hiring happens in finance, healthcare and operations teams that never post an engineering role and never show up in a search for tech companies.
To measure it, call POST /v1/jobs/search with job_title_or set to data analyst, business intelligence analyst and analytics engineer, status set to active, and posted_at_max_age_days to bound the window. Run the same query with skills_or set to sql, excel or data-analysis to see how the title and the skill diverge. Split by job_seniority_or to see whether entry-level demand exists, by isic_division_or to see which industries carry it, and by job_country_code_or or remote for location. Divide each result by the unfiltered count to turn it into a share.
Read the rows, not only the counts. min_annual_salary_usd on postings that state pay gives an advertised range by seniority and country, technology_slugs lists the tools each posting names, and ghost_score flags postings that look like evergreen requisitions rather than live openings. A title that is posted often but scores high for staleness is a weaker signal than a smaller set of fresh postings that close within a month, because closing quickly is what a filled role looks like.
The full treatment is on Job market data.
Related questions
Is data analyst in demand?
Yes, as a role family. The demand is spread across several titles and across industries that have nothing to do with technology, so a search for data analyst alone understates it. Check the level: run the query with job_seniority_or set to entry and again with senior, because the two answers are often different.
What is the difference between a data analyst and a data scientist in postings?
Analyst postings lean toward SQL, reporting, dashboards and business questions. Data scientist postings lean toward modeling, Python, statistics and experimentation. In practice the titles overlap heavily and many employers use them interchangeably, which is why measuring by skills_or as well as job_title_or gives a truer picture than either alone.
Do data analyst postings mention AI?
Some do, and the honest answer is a query rather than a claim. The Labour Market Pulse publishes the share of postings mentioning AI tooling per occupation and the gap in median advertised pay between AI and non-AI roles, refreshed with each snapshot. For a specific title, skills_or with artificial-intelligence alongside job_title_or gives the share directly.
How do I find companies hiring data analysts right now?
Call POST /v1/jobs/search with job_title_or set to the analyst titles, status set to active and discovered_at_gte set to the start of the window, then group the rows by the company field. The same search is available as the search_jobs tool on the MCP server at mcp.jobspipe.dev, so an agent can run it without an integration.
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