Data Analyst on How to Turn Business Metrics to Insights
Video Overview & Insights
👉 MENTORSHIP – Applications for the next cohort are open!
👉 MENTORSHIP – Applications for the next cohort are open!
Apply here → https://theanalyticsaccelerator.com/
If you found this video helpful in any way, leave me a comment below!
Apply here → https://theanalyticsaccelerator.com/
ABOUT THIS VIDEO
Thank you Christine
One of the magic ingredients to standing out in the job hunt is knowing how to translate data to real insights. In this video I walk through a simple framework and example of going from metric to recommendation - and how to actually relay these insights to stakeholders and hiring managers, so that you can stand out in the job market.
ABOUT ME
Enjoy watching this specific video to learn about SaaS business metrics, KPIs, and OKRs and how they impact the business across different layers. 💡
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!
U r out of the box grl❤
LINKS
- Get more tips in my newsletter - https://analyticsaccelerator.kit.com/join
This is helpful thanks
- Apply to the next cohort - https://theanalyticsaccelerator.com/
- Follow on LinkedIn - https://linkedin.com/in/christine-jiang
Thanks the video was really good.
Timestamps:
0:00 - Introduction
I am a safety specialist with data skills which enables me provide visibility for performance and operation indicator management at work.
This video speaks volume.
Thanks a million.
0:32 - What we'll cover
1:03 - Metrics are the backbone of a strong analyst
Thanks for your insight
2:28 - Popular metrics 101
3:49 - A framework to understanding metrics
You are the best in terms of understanding how to solve a data problem. Thank you lots.
5:45 - Metric to insight project example
9:24 - Get mentorship + community!
As someone who has spent so so so much more time on the technical lingo and less on the business lingo, this is invaluable. I will make sure to re-watch this video and your other videos with process and recall until this is second nature haha! Thank you!!
Video URL: https://youtu.be/xlyLxvUfTzc
Your content has been instrumental in helping me plan and execute my transition to becoming a data analyst. It's concise yet highly informative. Thank you so much, Christine—please keep the great content coming! I truly appreciate your time and effort.
More User Perspectives
I'm slowly falling in love with your content❤
@data_surgeonReally appreciate the emphasis on using a framework to guide analysis. It's super helpful for applying the data skillsets to any problem. Great video!
@m_schar@christinejiangdata what day of the week do you recommend we check back for more slots for the AA 1:1 chats?
@im1249Hey Christine! Extremely grateful for the content you have shared. Also I would like to know about the portfolio projects that would standout in a bunch of resumes as a fresher data analyst
@manjunathangadi5992Thank you for the advice! Will you be making a video on Github for portfolios anytime soon?
@chandrahismHi Christine! Thanks for the great content. Could you please make a video on how companies use automation for A/B testing, visualization & reporting, etc, as well as on tech, e-commerce, fin-tech comapnies' adoption of AI technologies?
I would love to hear your thoughts on how important these skills are for job candidates. Thanks!
Thank you so much!! 🌷
@avocado23474Great presentation!
Please do more examples, I want to pick your brain on how you analyze things.
You are very helpful, please continue doing this.
Thanks for your great and easy to understand video.
@tailethanh8074This is such a useful video Christine - thank you!
I have a few questions:
1. How does once pick North Star metrics?
2. Could you please, please make a video where you pick up a dataset and do an analytics project based on that from scratch? Thank you!
Could you do a video on churn analysis!
@Rume_EburuAnother great video Christine. Can I make vote here for the next video to be around professional certifications l, if any of them is still worth doing, whats the weight given by recruiters for completing any? Thanks again!
@kkkanamanWow, this is high quality content, thank you very much. I already registered for the workshop 🎉
@abbiroadAny tips on how to turn video ideas into pure gold? Because that's what every single one of your videos is.
@mushymush223Great video, Christine! Metrics have always been a challenge for me in my projects, but your advice has given me a better idea of how to implement them better. I'm looking forward to Saturday's workshop!
@smpee__Yess. I have been wanting this connection.
By chance could you integrate modeling / data models into work of a data analyst?
Such as why use data models, types, when to apply them - perhaps differences in business verses research environment. And visualization of the model in a slide(s), paginated report, or email to senior or lead data analyst.
I’m a beginner so maybe this is obvious. In a virtual internship I came across this issue of describing and using a data model. I applied theory but I hear if it can’t be graphed or notated mathematically then it is not a real model (context of undergrad economics). I’m sure a model is different for data analysts than data engineers too so… I would appreciate your take of some or all of the topic.
I would clarify better idk what I idk.
omg! First come!
@edithlovelemon