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Every Data Analyst on diiirect passes a role-specific skills assessment and a human review. Hire directly — no agencies, no middle layer.
We don't take resumes at face value. Every Data Analyst completes a role-specific assessment (about 12 minutes), and our team reviews the results — so your shortlist reflects demonstrated ability, not keyword-matching.
Estimated annual base, USD. Hiring globally widens your budget — see the full Data Analyst salary guide for regional breakdowns.
Post a Data Analyst role and get a human-reviewed shortlist of skills-assessed candidates.
What does a Data Analyst do?
They take business questions, pull and clean the relevant data (typically with SQL), analyze it, and communicate clear, actionable answers — often through dashboards and reports. The job is as much about asking the right question and explaining results as it is about the technical analysis.
What skills does a Data Analyst need?
Strong SQL is essential, alongside a BI/visualization tool (Tableau, Looker, or Power BI), solid spreadsheet skills, and a working grasp of statistics. Python or R and basic data-modeling awareness are common differentiators, and clear communication is what separates good from great.
How much does a Data Analyst earn?
Pay varies significantly by region, industry, and seniority, and overlaps with adjacent roles like analytics engineer. See the estimated compensation section above for regional medians.
What's the difference between a Data Analyst and a Data Scientist?
Analysts focus on describing and explaining what happened to drive decisions, leaning on SQL, BI tools, and applied statistics. Data scientists lean further into predictive modeling, machine learning, and heavier programming, though the line blurs at many companies.