
eCommerce Data Analyst
About the job
TLDR:
We're looking for an eCommerce data analyst that can help us make big strategy decisions around what the team should be working on next
The ideal candidate understands the sales funnel and digital marketing analytics
This role is for 10-20 hours per week
We use tools like Google Analytics, GTM, Data Studio, and Facebook / Google advertising pixels
What Is ClickMinded?
ClickMinded is the digital marketing training platform you didn't know you needed. We create world-class online courses and SOPs that companies use to train their teams every day.
What’s This Job About?
This job is all about managing all of the marketing analytics on ClickMinded.com and being responsible for helping us make our next business decision and investment. Specifically around our marketing funnel flows, but not exclusively.
You can see the ads we're currently running, here: https://bit.ly/35u6JOd
You can see one of the products, here: https://bit.ly/3rUE7Fo
You can see an SOP in our library, here: https://bit.ly/3gMbR6c
Requirements
What Are The Expectations?
We'll be asking questions like:
Results are down this week, where did we lose revenue?
Did the migration of the new checkout affect our product opt-in rate?
Can you add GA to WooFunnels and only track conversions on the thank you page?
Can you debug sessions in GA to understand why Facebook data doesn't match up?
Can you create a DataStudio widget with a chart where we can see the profit per week?
Can you analyze this product and see where it can be improved?
Can you analyze the Facebook Ad campaigns from last week and pinpoint opportunities?
What Type Of Person Will Succeed?
The ideal candidate has:
Familiarity with the sales funnel, web analytics, email marketing, content marketing, and paid advertising in general
1+ years of marketing analytics experience
1+ year experience doing some form of digital marketing professionally
Bonus:
1+ years analyzing PPC campaign data from Facebook Ads Manager & Google Ads
Benefits
100% remote
We work across all time zones (the team is based in the US, Europe & Asia) and are mostly asynchronous but you will need availability from 9-10AM ET for calls if necessary during the week
Competitive salary based on experience
A home office and learning & development budget for everyone on the team
This job is closed
But you can apply to other open Remote Data Analyst jobs
About the company
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