Working in Data Analytics

Data analysts work with data, pretty self-explanatory. They manipulate and work with it and in this day and age where companies are buying, selling and using ever-expanding sets of data this skill set is becoming incredibly important thus there is a huge demand for data analysts in today’s economy.

The Internet of Things (IoT) is a predicted huge factor for the jobs market in the future (and already is). Data analytics already plays a huge role in this area so it’s easy to see how data analytics is going to be incredibly important moving forward.

Analysts use data sets to gather insights that could potentially be useful to a company. So, by using numbers they gather important information that can be used to show correlations or trends that may help with things like business strategy and marketing.

The sets of data come from numerous sources. These could be sales statistics, customer feedback, web site traffic or any number of useful data sets. Often this data will have to be cleaned to remove anomalies etc before being placed into reports that give advice and highlight anything noticed.

Data analysts aren’t to be confused with data scientists who work more with the future and AI/machine-learning based predictive models. Data scientists tend to make a lot more money than data analysts and use coding through Python and SQL to retrieve their data.

To become a data analyst, it may be useful to have proficiency in the following areas:

  • Business
  • Economics
  • Statistics
  • Mathematics
  • Python

If you’re looking to be a data analyst and tick some or all the boxes above, you’re probably going to have a very rewarding, fun and interesting career ahead of you. Data analysts are in demand from start-ups to multinational corps and you should have no problem finding someone looking to hire you for your skills!

If you enjoyed this article check out this one where we talked to the cofounder of Sliips about Big Data and AI: