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So what exactly does a job in data analysis involve? Well it's not just about number crunching, although having strong maths is valuable for those looking to embark on a career in the field. Data scientists have to be able to think analytically about the results they uncover: they need to think about WHY a trend is emerging, not just identify what it is that's happening. And they need to be able to communicate the story behind the data to key stakeholders in the business (who might not be savvy with numbers!) effectively and succinctly, in both written and visual formats. Companies rely on data analysis teams to provide the business case for investing in new technologies, solutions or approaches; for entering new markets; for pivoting on business strategy. Ultimately, EVERYTHING in our digital landscape is increasingly coming down to the data, as every element of the consumer journey and experience is trackable and open to optimisation.
The really exciting thing about data analytics is that there are jobs in almost every industry and sector imaginable: so whether you're interested in finance, marketing, sales, education, pharmaceuticals, travel...you name it! There will be data analysis teams looking for new recruits.
What kind of work is involved? Your typical roles and responsibilities might include:
It's the perfect role for people who are looking to combine their mathematical skills with a problem-solving mindset, in an environment reliant on teamwork, collaboration and excellent communication skills to really move the needle on business performance. Read on below to find out how you can best prepare yourself for applying for a job in data science! And hear from a Data Analysis apprentice currently learning and earning in the sector...
This free online course will help you use Excel for data analytics. And remember: If you can’t get hold of Excel you can do lots of the functions on Google Sheets (a free online tool)
Think about how data relates to something you are passionate about and think about how you can talk about just that. For example, this article will tell you much more about how data is being used in Tennis!
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