Data Analytics Skills Every Marketer Should Master
Data Analytics Skills Every Marketer Should Master
No, you’re not imagining things. Everyone is talking about data. Data analytics skills are indispensable in pretty much every role these days.
According to Forbes, 95% of businesses face some kind of need to manage their unstructured data and according to LinkedIn, analytical reasoning is the third most in-demand hard skill in the world.
Data analytics skills aren’t exclusive to tech jobs either. Up to 2.72 million jobs in fields as diverse as marketing, HR and logistics required data skills in 2020.
But from all the jobs out there, marketing has probably changed the most due to the widespread adoption of data tools and data-driven marketing. That’s because of the many benefits and opportunities for marketers provided by data.
What are the benefits of learning data analytics skills for marketers?
Improve decision making
Historically marketers used their experience and hunches to decide what product to launch. Things changed when data-driven marketing arrived on the scene. Now, marketers can (and should) leverage data insights to improve their decision making and increase their confidence. It’s no longer enough to say “I feel this will work”, you need to back it up with data.
There are two ways marketers can save time with data analytics skills. Firstly, the ability to work with data helps marketers to make better decisions quicker. It also makes them more independent from data teams. Many marketers don’t need to know Python or SQL, but knowing statistics and mastering Excel can cut decision making time in half.
Communicate with technical teams and break down silos
In the majority of industries, marketers have to work closely with product and tech teams, who usually speak the language of data. Being able to communicate with tech departments using data enables marketers to build better relationships and improve understanding. A good understanding of data analytics also gives marketers the tools they need to understand decisions made by product teams, such as the features they choose to prioritise.
Which data analytics skills do I need to learn?
Here at Growth Tribe, we’ve taught thousands of students how to use data analytics skills to get better at their jobs. One of the most common questions that we get is: which data analytics skills do I need to learn? Here are the top seven skills that will be crucial for marketers in the coming years.
Most people know how to do basic calculations in Excel, but it is much more powerful than many think. From organising data in easy-to-navigate ways to turning vast amounts of data into projections and graphs, Excel is one of the most powerful data analytics tools for marketers.
Five years ago marketers didn’t need to know how to code, now, things have changed. SQL is becoming a must-have language for marketers in big companies, like Amazon and Google. SQL is a language for working with databases and it is much easier to learn than you might think. Learning SQL can make you truly independent from analytics and tech teams as you can easily pull and analyse the data yourself directly from the database.
If you want to structure your thoughts better and communicate your ideas to your colleagues, critical thinking is a data analytics skill you need to master. Unlike SQL or Microsoft Excel, critical thinking can’t be learnt with a course. It requires practising active listening and always asking questions before making decisions.
This is one of the skills that people often miss, but it’s crucial to learn. Once you start working with large amounts of data you need to have a clear idea of what the information means. Data visualisation enables you to turn data into easily understood graphs to help you tell a more powerful story. This also helps you to see patterns better and create projections.
We’ve all had to sit through boring presentations where we could understand only half of it. Presentation skills are not exclusive to working with data, but they're super important for marketers. Getting the right data is only part of the job. Being able to communicate it to your team and the rest of the company is just as important.
Without statistics, there would be no data analytics. Statistics is how we, marketers, make data-driven decisions. It is one of the most fundamental skills that you need to learn as a marketer. For example, confusing correlation with causation has caused many failed marketing forecasts!
It’s a popular coding language that’s loved by data scientists. If you ever considered exploring Marketing Data, Data Analytics or Data Science paths in your career, we highly recommend that you give Python a try.
What are the most common challenges marketers face and how can data help them out?
Being a marketing professional is harder than ever. Previously you could specialise in a very niche segment, whereas today, you are expected to know everything from brand management to performance marketing and from content writing to CRO. But there is some good news! If you can build data analytics skills you can tackle many common marketing challenges.
Providing ROI for your marketing activities
Measuring ROI is crucial for marketers and you need to have solid data analytics skills to do this. When using a variety of channels and data sources, being able to get a clear attribution and reporting is essential, both to optimise your campaigns and to request future marketing budgets.
Mapping the customer journey
Building customer journeys is essential to CRO (conversion rate optimisation) and you can’t do it without data. Mastering data visualisation and some of the most popular tools like Tableau enables you to visualise customer journeys and optimize them.
Identifying new potential customers
As a marketer, you always need to think about how to grow your customer base. The best way to do this is to look into your existing customers and find patterns. This way, you can identify exciting new segments or types of users.
Tracking performance metrics accurately
If you want to be KPI-driven you need to know how to set the right KPIs and how to track them. Data analytics skills are essential for this.
What are the job prospects for marketers with data analytics skills?
According to LinkedIn, 39% of all high-paying jobs need data skills. Businesses of all shapes and sizes globally are constantly collecting huge amounts of data, but only an estimated 0.5% of all data collected is ever used in a meaningful way. Learning Data Analytics can make you the driver of change in your organisation, translating data into impact.
With strong data analytics skills, you can explore different career opportunities outside of marketing too. It enables you to move between marketing, product, operations and UX.
If you enjoy working with data you could also explore opportunities in the Data Analytics and Data Science fields. There is a lot of demand to fill these positions and the salaries can be very competitive.
How do you develop data analytic skills?
Learning data analytics skills is important, but where do you start? You can learn new skills by working with other people in your company and try some things by yourself. But if you want to master data and if you want to do it quickly, you may need to take a course.
We get it. There’s a lot of information out there about all kinds of courses you can take to learn all kinds of new skills. Here’s our no-frills rundown of everything you need to know about our Data Analytics course.
What will you learn?
Everything from how to navigate spreadsheets, to using business intelligence and machine learning tools to deliver clear insights and make rational predictions from data.
Are you a good fit?
This is a beginner-friendly program with no prerequisites or experiences required. The course is tailored to your skill level and capabilities right from the offset, with lots of one-to-one support as you learn.
How to enrol?
Pick a date and secure your place on our website. Or contact one of our learning advisers who will be happy to answer questions or get you enrolled.
How much of your time will it take?
This course is offered as a 6 or 12-week track. For both, you’ll need 3-6 hours per week to complete the classes and content. These take place in the evenings, so it won’t get in the way of your daily tasks!
How will you learn?
You won’t be paying a premium just to look at slideshows or watch boring videos. Our course is 100% online using a blend of live, interactive classes, personal coaching sessions and on-demand study tracks. You’ll get hands-on with industry tools and build a personal portfolio to showcase your abilities.
How much is it?
This course costs €2997. You can pay this in full or if you need more flexibility you can pay in interest-free instalments.
Interested in learning Data Analytics?
If you have any more questions or concerns, book a call with us below and we’ll help you out. That button’s also handy for getting enrolled on a course…