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How To Build A Successful Data Analytics Career?

The digital revolution has pushed businesses and enterprises towards adopting a methodical and scientific approach to data. Hence, there cannot be a better time to learn Data Analytics and kick start your career in the field of Data Science. With a promising job landscape spanning several industries, a Data Analyst can well expect a high median salary with flexible remote working options.

So, if you’re interested to learn Data Analytics, this article will help you figure out the path ahead.

What is Data Analytics?

Broadly speaking, Data Analytics is the process of investigating raw data to spot trends and reach meaningful conclusions that answer specific questions. The field has a broad scope and includes several different techniques and goals. In the end, the common objective is to provide logical insights that can help businesses make efficient and effective decisions.

Data Analytics are of the following types:

  • Descriptive Analytics: It is the process that describes past trends in data, outlining the data in a logical and descriptive way.
  • Diagnostic Analytics: As the name suggests, this technique examines the causes behind the data trends.
  • Predictive Analytics: These techniques take the help of historical data trends to predict if they’ll recur in the future.
  • Prescriptive Analytics: It helps reach data-driven solutions based on Predictive Analysis.

A Career In Data Analytics

With the surge in the use of technology, Data Analytics has become a hot topic in recent years. The demand for knowledgeable and skilled Data Analysts far exceeds the supply and naturally, industries are willing to pay whatever it takes to hire the best Data Analysts. 

In fact, India is the second-highest recruiter of data professionals after the USA and has created a demand to hire around 50,000 data professionals for 2020-2021. In the Indian market, the average salary of a data professional with less than one year of experience is around 7 LPA. In addition, start-ups are offering a good 5 LPA salary package to well-trained data professionals with no real-time experience. Having 3 to 5 years of experience can land you a job with a salary ranging between 10-14 LPA.

In India, top companies hiring Data Analyst and Data Science professionals include IBM, Tata Consultancy Services, Accenture, Capgemini, Myntra, Mastercard, and Intel, to mention a few. If you learn Data Analytics and wonder what job responsibilities you’ll have, here is a (not exhaustive) list:

  • Using statistical methods for data analysis and generation of useful business insights
  • Creation of data-driven models to identify trends in consumer population and customer base
  • Identifying ways to streamline business processes
  • Identifying the data requirements of each business method analysis project

How To Build A Career In Data Analytics?

If you learn Data Analytics, this is a question that will inevitably pop up at some point or the other. Well, you should keep in mind that data and numbers are all around you; you just need to spot the right opportunity, apply the correct technique, and apply your Data Analytics skills to solve business problems. It may sound like a very generic solution but to be honest, this is a time when shifting your focus to a Data Analysis career will prove more fruitful than ever. It’s because most research and consulting firms out there have recognized the immense potential of Data Analytics to solve daily business problems through strategic and informed thinking and decision making. 

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So, if you want to learn Data Analytics, here are some golden rules that can help you ace a Data Analyst’s job with flair!

  • Develop an analytical mindset: A Data Analyst’s job entails working with data to reach meaningful conclusions. A great way to develop an analytical mindset is to focus on the statistics and numbers you come across in everyday life. Try to frame contradicting arguments on a topic you don’t know much about, use the objective data to reach a stand, and then see how your final stand compares with any predetermined views you had.
  • Understand the software tools: There is a pretty long list of tools when it comes to Data Analytics. Choose the one you have easy access to and start learning it. But try to have in-depth knowledge about what you are aiming to learn instead of possessing half-baked knowledge about many things. Here’s a list of some essential tools you can begin with: 
  1. R
  2. Python
  3. Tableau Public
  4. SPSS
  5. SAS
  6. SQL
  • Learn to code: You don’t really have to know Computer Science to do Data Analytics but you must know how to code. Writing codes ensures reproducibility. So, others can build on your work instead of you trying to teach them every time. Hence, you must be aware of different computer languages and software tools that can come in handy in your Data Analysis tasks. 
  • Understand how analytics are harnessed in your industry: Analytics comes into play in any field where data is generated or collected. However, the roles and responsibilities of a Data Analyst can differ between industries and departments. So, irrespective of your professional background, once you learn Data Analytics and choose a field, you have to look at field-specific metrics and questions to understand how you can leverage data.
  • Build your network: Networking is a crucial career advancement strategy and Data Analytics is no different. It is important to expand your network and don’t just rely on conventional networking events. For instance, you can reach out to friends and acquaintances who work in a similar field, join online forums and communities for expert advice, sign-up for mock analyst interviews, participate in data competitions, and so on. 

Conclusion

There is a huge demand for skilled Data Analysts who can make businesses and enterprises make sense out of the vast amount of data being generated every second. In such a scenario, if you learn Data Analytics, it’ll well prove to be an outstanding achievement in your resume. So, if you have what it takes to be an expert Data Analyst, get started with the learning journey today!