My tips to help you get started on the marketing analytics journey.
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I am making this blog to share as a first thing when someone asks me how to get into Marketing Analytics / Digital Analytics?
I would say that Marketing Analytics is a wide field. For example, you can be a Growth Analyst, an Optimization Analyst, or an SEO Analyst. You could be creating targets, doing some funnel analysis or a lot of other things that an organization might need some help with.
There is also some Data Engineering and Web Pages part to analytics so it could get a little technical.
So it is important to know what exactly or approximately you want to do before creating a detailed study guide. Below are my recommendations for some general questions that someone might ask -
## What tools and technologies should I know and learn?
- Excel/Google sheet takes anyone very far. should know vlookup and pivot table like the back of your hand
- Visualization and dashboards using data studio/Domo/tableau etc
- Digital analytics fundamentals - google analytics, Google AdWords, social media metrics etc
- SQL basics at least (Joins, cases)
- HTML/CSS/Javascript basics
- Advanced - Python, statistics
Each of these takes a really long time to master. So you need to give yourself time and have some patience. You can never be too technical, but always be
## How can I better my knowledge? Should I take a Coursera, Udemy etc course? How to get my hands dirty? - Courses and youtube videos are a good start. Real learning also happens on personal projects. There are multiple ways to get great content. A lot of it is also open source. - You can also do some personal projects. For example tag your personal website to collect GA events, build data studio dashboards for it. etc
## Landing a remote gig/job Getting the foot in the door is difficult, I won't lie. Good luck and you can do it! I think work samples will set you apart hence personal projects samples if crucial in the application. Also a personal blog, LinkedIn blogs help.
## Growth in the role Lots of potential. Data is the new oil. You can do reporting using starting skills. More avenues for data science (probability of a customer to respond to offer, marketing campaigns) open up as you get better with Python, SQL and statistics. You constantly have to learn something to be up to date. I think machine learning skills are going to be table stakes in 5-8 years. So one has to aim to acquire those skills as the foundations become solid. I am still learning a lot, focusing on Python from this year.
Also, marketing analytics is vast. But good to start from somewhere.
I am happy to help with any recommendations to help you in the journey even if I don't know you.