Data Analyst Interview | Cleaning and Merging a Complex Data Set

Don't leave your data analyst career to chance. Sign up for Exponent's DA interview course today: https://bit.ly/3ZbImOm In this video, Allan breaks down how he cleaned and merged messy data sets at Uber. He explains how he handled data quality issues, integrated third-party demographics, and delivered a clean, scalable dataset for analytics and segmentation. 00:00 – Data Cleaning Interview Question 00:13 – Project Overview at Uber 01:07 – Combining Internal and Third-Party Data 02:37 – Identifying and Fixing Data Quality Issues 04:29 – Creating a Clean, Scalable Dataset 06:23 – Collaborating with Data Engineers 08:37 – Dealing with Unexpected Errors 10:06 – Reflection & Interview Tips 👉 Subscribe to our channel: http://bit.ly/exponentyt 📧 Sign up for our email newsletter with PM interview lessons: http://bit.ly/exponentpm 🕊️ Follow us on Twitter: http://bit.ly/exptweet 💙 Like us on Facebook for special discounts: http://bit.ly/exponentfb 📷 Check us out on Instagram: http://bit.ly/exponentig ABOUT US: Did you enjoy this interview question and answer? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others. Our courses include interview lessons, questions, and complete answers with video walkthroughs. Get access to hours of real interview videos, where we analyze what went right or wrong, as well as our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more! #data #dataanalysis #dataanalytics #tech #entrepreneurship #exponent #execution