Data Analyst applicants have rated the interview process at GitHub with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 43.3% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
The Data Analyst interview process typically includes resume screening, a phone interview, a technical assessment (SQL, Python), an in-depth technical interview, behavioral questions, and possibly a case study or presentation. Finally, you'll receive feedback or a job offer.
Interview questions [1]
Question 1
How do you approach cleaning and preparing data for analysis
Very straight forward, no technical questions but mainly just conversational. I did enjoy the conversations regarding my experience and the hiring manager asked all analytical conceptual questions. Most of it was data architecture type of questions
Interview questions [1]
Question 1
Can you tell us how you would analyze github data to improve current business decisions the company makes?