There >5000 data related jobs on indeed today attracting over 52,000 views. So how do you stand out? Understanding the differences will help. 

Data science is a fast growing field. The three 'big' roles are Data Engineer, Data Analyst, and Data Scientist. 

Precisely how they're defined varies between companies, but there are common identifying features of each. 


What is a Data Analyst?

Data Analysts use data to answer questions in service of informing business decisions.  

Common tasks done by data analysts include data cleaning, performing analysis and creating data visualizations.

Data Analysts are a bridge between teams by tracking performance, sharing progress, and maintaining focus.  Skills required: 

  • keen eye on organising data
  • spotting trends
  • creating visualisations that tell the data's story
  • presenting results in language that works for the audience (could be internal, could be a client)


What is a Data Scientist?

Data Scientists focuses on understanding data from the past and present perspectives to produce reliable predictions for the future. 

They tackle more open-ended questions and advanced statistics and algorithms to uncover hidden insights. They are essentially training mathematical models to better identify patterns and build accurate forecasts.

Data Scientists are focused on bringing entirely new approaches and perspectives to understanding data and so the skills required include: 

  • Evaluating statistical models
  • Using machine learning
  • Testing machine learning models
  • Building data visualisations to present the findings from an analysis 


What is a Data Engineer?

Data engineers ensure that company and research data is properly received, transformed, stored, and made accessible to other users.

They establish the foundation for Data Scientists and Data Analysts to work on. 

Unlike the previous two career paths, data engineering leans a lot more toward a software development skill set:

  • Building APIs for data consumption
  • Merging different sources of data
  • Applying feature transformations for machine learning models
  • Continuously monitoring and testing systems


And there is a ......

DATA CAREER QUIZ! 

To see which career route you would be suited to. 

Turns out I'd be great as a Data Analyst. I can see that! 


If have roles you want to understand in terms of competition on job boards, average job seekers, let me know as we have the biggest media division in the business and they'd LOVE to help you.