What does a Data Analyst do? Is a very logical question, because of the broad range of tasks performed by a data analyst, it could at times get a little confusing to really understand the key focus of the title. The main objective of a data analyst is to add value to the organisation or the clients that he or she is associated with. We live in a data driven world, any organisation or client who deals with either products or services is backed by data. It is one thing to be able to create dashboards indicating performance metrics on a regular basis, but merely having access to this information on a daily basis is not enough anymore. Accurate data analysis needs to be performed on this stacked volumes of data, to extract value and insights from it, also it is non-negotiable that this data should be used whenever possible, to make better and informed decisions. And this is where the coveted title, that of a Data Analyst has a role to play.
Data analysts are in high demand, and equally demanding is the work and effort that they put in.
A key prerequisite for a data analyst is to have an analytical mindset. A data analyst specifically manages and spearheads the database and assist the company or the client to take databased decisions.
To better understand what does a data analyst does, we will take an example of a data analyst working with a marketing technology provider for mobiles.
A data analyst here would need to maintain the demand side or in other words media buying side, which translates that he would need to fill and manage the ad space over the mobile apps. So a data analyst’s tasks, in this scenario, would generally be building detailed profiles of the mobile application users and ensure ads relevant to the user are available over the platforms. This effort will ensure a higher return on investments when analysing advert expenditure. Also alternatively this effort by the data analyst will enhance the customer or user experience by giving them a more personalised engagement over the mobile ads.
As a user, you too would have seen this over various internet linked technologies that you use.
Now, this sounds exciting but let’s try to understand in terms of work, how does this translate over a task platform, what is the process of filling the ad space within an app. This is possible because of Real Time Data Transfer. So as a user whenever you click or open an application, there are ad slots that need to be filled, upon clicking, these ad slots send signals to an ad exchange indicating that the application is loading, the ad exchange then sends a bid to the intermediate provider on the demand side, and the highest bidder wins the space.
In this particular scenario, we are observing, what a data analyst working on the demand side of mobile marketing technology does. Similarly, every industry uses the skills of a data analyst to suit their requirements, in methods they find best suitable. A great amount of potential is being uncovered in Manufacturing, Aviation, Healthcare Industries, who are capitalising the insights from the data to drive their marketing and manufacturing efforts.
As a data analysist who wishes to reach the pinnacle of success, one should be familiar with five core competencies, Skills in Programming, Statistics, Machine Learning, Data Mugging, and Data Visualisation. And more importantly, you need to have an inquisitive mind which is trained to think abstractly.
If you are inherently curious, not shying away from digging through chunks of data and efficient in your effort, along with being updated in technology, then this line is for you. Core Competencies of the job can always be learned and acquired.
To learn more feel free to consider our Data Science Prodegree which is in collaboration with Genpact – as Knowledge Partner.