4 Must Have Skills for Data Analysts in 2019

Leon Young 25.02.2019

New Year, New Me…. well, sort off. I’m still a fair few months away from a beach bod and getting on the property ladder, but onwards and upwards. Even if that gym membership card is gathering dust, there's no need for your analytics career to go the same way.

So what changes can we make for 2019? What’s going to actually define your career in analytics this year? Well, I’ve compiled some of the top skills needed for data in 2019, so you’ll be on the right track. You might also want to compare the skills in 2018 vs 2019 (it’s all in our Salary Guide).

1. Python skills

There has been a massive shift in the last couple of years. Combine that with the large global community and the growth of big data, you’ll get an increase in the demand for python skills.

If this year is all about getting the right skills to excel in your analytics career, python is something you can’t miss out on.

Python is continuing to stay at the top of the pile of open source languages used by analytics professionals. One of the big advantages of python is that it's well-suited for machine learning with a wide set of libraries with tools such as TensorFlow. You can also attach data from a wide set of formats for data analysis and it offers more functionality than R with less of a steep learning curve.

Similar to R its community network can be a wealth of knowledge and useful resources especially when you get stuck.

2.  Machine learning

Calm down I’m not saying that Machine learning is a new trend! But its use is no longer purely in the data science or the advanced analytics teams. 2018 showed teams outside of the norms looking to machine learning especially in the areas of campaigns analytics, marketing, and risk analytics. If you want to stand out from the crowd and advance your analytics career in 2019, then picking up skills in machine learning such as Natural language processing, Outlier detection and supervised machine learning and unsupervised learning is a great way to go!

3. Data Governance and Data Quality

The recent royal commission findings have cast light onto some of the misconduct from some of the big boys in banking and financial services; many of these organisations have sought to get their houses in order. With this in mind, there has been a surge in demand for data governance and data quality professionals. It's the age old saying of “garbage in, garbage out” and if the data is not correct in the first place, then you’re likely to run into some issues…. such as dead people still be charged fees!

4. Commercial acumen

There is no end in sight for the demand of data professionals who can manipulate data and turn it into meaningful insights that can influence strategy and work across the business.

I would say that this has been the number one requirement for 95% of the roles that I have worked on for the last five years and there is no doubt that this will continue in 2019 and beyond. More and more organisations are turning to data to provide them with a strategic direction in a hope of providing a competitive advantage.

So what now? Well if you don't possess the above skills then hopefully I’ve pointed you in the right direction. If you do, then you might want to check out the latest Morgan McKinley Salary Guide and find out how much you should get paid this year!

salary guide 2019     search_jobs.png  

Leon Young's picture
Senior Consultant | Analytics
lyoung@morganmckinley.com.au