5 Big Data Analytics Skills That Will Boost Your Salary - Great Learning

5 Big Data Analytics Skills That Will Boost Your Salary

Are you wondering what the buzz about big data is? Should you make a transition to a career in big data analytics? Well, whether you are already in data analytics or in IT, you have come to the right place. As the buzz around big data gathers momentum, more and more professionals are gearing up to improve their employable skills in big data analytics.

Why so, you may wonder.

It is a data-driven world today where more and more businesses are implementing analytics in a big data ecosystem. A Gartner survey shows that more than 75 % of businesses are investing in big data. Whether it is the banking and financial industry, insurance, eCommerce, health sector or travel, all of these are grappling with voluminous data in real-time. Making sense of this data is the domain of the big data analyst.

As the always-connected environment in everyday life gains traction with more and more connected devices, data is generated in huge volumes at great speeds in real-time. Big data analytics has emerged as a leading disruptor in most sectors, powering data-driven insights for transforming customer experiences. Big data is here to stay, and the best way to carve a high-paid salary in analytics is by walking the big data path!

Why is there a need for Big Data Analytics skills?

According to the latest industry reports, big data analytics salaries are at an all-time high and expected to get better. Entry-level salaries begin at Rs 7.5 lakhs p.a. and go up to Rs 12.10 lakhs p.a. at the senior levels. According to an Edvancer-AIM study on analytics career scope, the median salaries offered are Rs 10.5 lakhs p.a, while 40% of advertised analytics jobs offer salaries of more than Rs 10 lakhs p.a. The percentage by hiring across tools and skills records the highest for R statistical tool at 36 %, followed by Python at 30%; and Hadoop and SAS at 20% each.

At the same time, it is about your data analysis competency and logical reasoning. The more you learn the technical and open source frameworks dedicated to handling big data analytics, the better is your chance to get a salary that you have always dreamed of.

Here are the top five big data analytics skills that will likely boost your salary:

1. Apache Hadoop

The Apache Hadoop is an open source project that allows fast processing and insights into huge volumes of structured and unstructured data. The Hadoop has emerged as the driving force behind the growth of big data analytics, with spin-offs in a BI environment. The powerful big data platform offers the Hadoop expert the ability to leverage the central elements of the Hadoop stack for deep and fast analytics. So learning the Hadoop framework, together with the underpinning programming models, such as the Map Reduce, Hive, Pig, and HBase, is critical to earning analytical brownies in big data analytics.

2. Apache Spark

In-memory computing enables high-performance algorithms for faster processing. The capability of end-to-end insights in real- time with sophisticated ‘what if’ simulations, has seen increased adoption of Apache Spark by big data practitioners. As mastering the Spark is considered a challenge for many analysts, the professional who is equipped with skills in Apache Spark is sure to command a salary on his terms.

3. Machine Learning and Data Mining

Machine learning is an AI technology that powers big data analytics by learning rules iteratively for improved analytics. Getting trained in machine learning algorithms and rule defining for spotting anomalies and patterns is a popular demand in sectors like banking, finance, and trading. The ability to build predictive analytics in a big data engine for personalized customer experience is a highly sought-after skill.

Data mining is a technique that integrates structured and unstructured data from multiple disparate channels for big data analytics. It has the capability to pull any data, including social media, for a 360-degree view of the customer. If you are armed with the skills of data mining, you can bring value to a business. In turn, you can demand the top salary for your data mining skills.

4. NoSQL

Distributed, scaled-out NoSQL powered databases continue to be the rage. NoSQL database skills power big data analytics from huge data, with quick iterations and coding. Its many advantages over the traditional RDBMS have pushed NoSQL to the forefront. The distributed architecture of NoSQL framework allows high-performance big data analytics at massive scale, making it almost indispensable in recent times. So the analytics professional armed with working knowledge of one or more NoSQL databases can certainly boost his salary.

5. Statistical Tools

The power of statistical reasoning cannot be underestimated, especially for analytics presentations for businesses. Statistical tools like R, SAS, Matlab, SPSS, or Stata are long-time favored tools for enterprise big data analytics. Analytical tasks with massive data can be handled with ease, such as coding with social media analytics; data mining, clustering, and regression models. The advantage of R as an open source model lends its ability to be paired with other technologies and big data products. The statistical tools are a great learning curve for those who want to work as quants, or in the field of retail, insurance or market research.


In the race to secure the best salary in big data analytics jobs, a single skill development is not enough. Each of the above skills has their own merits. So plan a gradual scale-up of big data analytics learning, with all the five skills, to fetch you a good analytics position. The salary package and career graph in the big data analytics landscape have never been better! So go ahead, and arm yourself with the necessary technical skills. Learn big data with big data certification and online training programmes on-the-go, together with your studies or present job. Get trained on the most relevant big data analytics tools that best-fit your career trajectory. Strengthen your analytical skills in a big data environment with suitable weekend programmes, and domain-based management skills for that salary package booster. So if you are a student or analytics newbie, there is no time like the present.

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