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The Complete Guide to Hiring Data Analysts

As the many uses of technology continue to proliferate throughout society, companies across all industries are beginning to recognize how valuable a clear understanding of data and metrics are for the health and success of a business. Data Analysts are the experts at the center of this trend, and as demand for the role continues to grow, it has become increasingly difficult to find and hire strong candidates for Data Analyst roles.

There’s nothing more frustrating (and expensive!) than hiring a candidate, only to find out months later that they’re not the right fit. The goal of this guide is to help you hire the right data analyst the first time.

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By the end of this guide, you should be able to:

Differentiate between Data Analysts, Data Specialists, Data Scientists, and other data-related roles.

Understand what skills and strengths to look for in a Data Analyst candidate.

Apply best practices to keep your Data Analyst hiring process fair, effective, and efficient.

The proof is in the pudding

Companies like Figma, Webflow, and Lyft use the Byteboard interview to make their hiring process more effective, efficient, and equitable.


Avg. candidate satisfaction
post interview


Avg. onsite-to-offer rate
(industry avg. of 25%)


Reduction in pre-onsite
interview time