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Data analysts and adjacent roles — data scientists, BI analysts, analytics engineers — turn raw data into decisions. The listings here cover analytics, business intelligence, and data engineering positions at companies across industries that are actively hiring.
Employers commonly screen for SQL fluency, comfort with a data-visualization or BI tool (Tableau, Looker, Power BI), and the ability to translate ambiguous business questions into analyses. Scripting (Python or R) and statistics strengthen data-science-leaning roles; pipeline and warehouse experience matters for analytics-engineering ones.
Analytics roles exist in nearly every industry, so openings are geographically broad with a growing remote share. Compensation rises with technical depth and business impact. A resume that names the tools you've used and the decisions your analyses drove clears automated screening more reliably than a generic one.
Based on job descriptions in our database. Links go to official issuing bodies.
AWS certifications increasingly valued for cloud-native analytics roles.
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