I am a Data Analyst at Head Infotech Pvt. Ltd., a gaming company in Hyderabad. I have done my B. Tech from NIT Surat in Electronics & Communication Engineering. It was clear in my final year of graduation that I was not going to continue my career as an Electronics Engineer due to many reasons. This is the point where I thought of a career transition. Then, I researched about the areas where I can do well and for many obvious reasons, I was good at Mathematics, Statistics and Physics right from my childhood. This helped me in taking the decision to shift towards data science. It was a field where you can play with mathematics and logic to help answer difficult business problems using analytics.
I got to know about UpGrad’s PGDP in Data Science, with a certification from IIIT Bangalore, through one of my friends. After checking the course content, I found the pedagogy of content to be well organized. The reviews were very good as it was taught by professors from IIIT Bangalore. Even after that, I had a lot of discussions with many people along with the UpGrad mentor before arriving at the decision to take the course, as it was priced a little high for me. Finally, I enrolled in the course and it was the best decision I took just after completing my B. Tech. At some point in your life, you have to take a calculated risk to achieve success in life and this was it.
I had taken this online course leaving all the Electronics engineering knowledge and completely concentrating on Data Science. The content taught by IIIT-B professors made me more excited about this field. The support of UpGrad student mentors in the course was a crucial part. I followed them and they helped a lot in clarifying my queries. There was also placement assistance given where you are perfectly guided on how to start a career as a Data Analyst.
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When everything was going fine while learning all these, I got a call from Head Infotech Pvt. Ltd. to attend for an interview for Data Analyst role. After several rounds, finally, all my efforts after the graduation from my home, paid off – achieving career start as a Data Analyst. I would like to thank once again the IIIT-B professors and UpGrad for providing strong content and delivering such a huge course so systematically, and also Head Infotech Pvt. Ltd. for believing in me to join their family.
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What are the roles and responsibilities of a Data Analyst?
A data analyst’s job description can be summarised as someone with the expertise and skills to transform raw data into information and insight that can be used to make business choices. Some of the key responsibilities of a data analyst include data extraction from primary and secondary sources using automated tools, fixing code flaws and other issues, as well as removing corrupted data, creating and managing databases and data systems, as well as rearranging data into a usable format, using statistical methods to find, analyse, and interpret patterns and trends in large data sets that can aid in diagnosis and prediction. In addition, data analysts look for process improvement opportunities, propose system upgrades, and develop data governance strategies with programmers, engineers, and management heads. They also create final analysis reports to help stakeholders understand the data-analysis process and make key decisions based on numerous facts and trends
What are the career opportunities available for Data Analytics?
Career opportunities after adding Data Analytics to your skillset are Data Scientist, Data Engineer, Data Analyst, Machine Learning Engineer, Data Journalist, Database Admin, Financial Analyst, Product Analyst, Business Analyst, Business Intelligence Analyst, Marketing Analyst, Quantitative Analyst, Data visualization Specialist, Functional Analyst, Data System Developer.
What are the skills required to become a successful Data Analyst?
Data analysts need specialised skills to succeed in their sector, and their qualifications are mostly technical; nevertheless, they also require a few soft skills. There is no one-size-fits-all approach to learning these abilities. Whatever path you choose, you’ll need to develop a strong set of abilities in order to become a sought-after data expert.
Data analysts need a combination of technical and soft skills to get ahead in their career. Technical skills include knowledge of statistical and mathematical concepts, programming languages and tools, data visualization, SQL and NoSQL, data wrangling, warehousing, mining techniques, machine learning, MS Excel among others. Non-technical skills include excellent communication, problem solving, research and teamwork.