Think Like a Data Analyst - Business Metrics for Data Analysts | Portfolio Project Q&A

👉 MENTORSHIP – Applications for the next cohort are open! Apply here → https://theanalyticsaccelerator.com/ ABOUT THIS VIDEO One of the hardest concepts for aspiring data analysts to self-learn is how business metrics are applied to the day-to-day job, as well as throughout their job hunt. If you're serious about standing out in today's competitive job market, grab a notepad and watch this vid for a deep-dive into using metrics in all aspects of your resume, portfolio, and interviews. I show concrete examples from students who have successfully landed their first data job in the last 10 weeks - and talk about my mentorship program for those of you who are interested in taking the most direct path with me! ABOUT ME If we haven’t met yet - hi! I’m Christine, a former data director and hiring manager helping ambitious career transitioners and recent grads land their first job as a data analyst. I'll be sharing the insights and strategies that empowered over 70% of job-hunting students in the first cohort of my mentorship program landed their first data job within 6 months, in today's super-competitive job market. If you want to become a standout data analyst through applied business skills, soft skills, and strategies for every part of the job hunt process - so that you can have confidence, professional leverage, and bring real impact to work - connect below for more insights and future workshops! LINKS - Get more tips in my newsletter - https://analyticsaccelerator.kit.com/join - Apply to the next cohort - https://theanalyticsaccelerator.com/ - Follow on LinkedIn - https://linkedin.com/in/christine-jiang Timestamps: 0:00 - Intro 2:33 - Business Metrics Video Replay 10:32 - Think of Metrics As A Theme 13:03 - Business Metrics In Resumes 17:36 - Business Metrics In Projects & Dashboards 21:11 - Business Metrics In Presentations 22:24 - Business Metrics In Interviews 26:45 - My Mentorship Program 31:03 - How to get good data for projects? 35:39 - How to prove the value of data at work? 41:12 - How to pick metrics for projects? 43:09 - What projects impress hiring managers? 45:52 - How to translate data into insights? 49:06 - Do junior analysts need A/B testing? 50:58 - How long should resume bullets be? Video URL: https://youtu.be/gatWC5PSdq8