Overview
    Hyderabad houses companies such as Google, Cisco, IBM, Deloitte, Oracle, Microsoft, Facebook, Dell, Genpact, Capgemini and many other companies that hire analysts by the bulk annually. According to The World Economic Forum, Data Analytics has kept employing 4.5% more individuals every year since 2015. According to AIMResearch, Hyderabad has seen a massive salary hike of 22% since 2015 while experiencing an increase in job openings for analysts. Studying Data analytics courses in Hyderabad open up many new opportunities to join internships and entry-level positions in MNCs and conglomerates present in the city.
    Data analytics courses in Hyderabad help budding analysts acquire complex problem-solving skills, critical thinking skills, cognitive flexibility, and mathematical reasoning skills. Additionally, students gain a strong foundation in statistics for effectively using analytical tools and techniques. Data analytics courses allow individuals to learn how to use Hadoop, SQL, Tableau, Microsoft Power BI, and Excel to report, visualise, and forecast from data. Additionally, Hyderabad offers more than enough scope to progress into Data Engineering, Data Management, Data Governance and other fields of Data Science through gaining practical experience. Accenture has built its first Nano Lab in the APAC region in Hyderabad. In addition, the city is hosting Amazon’s second infrastructure region for Amazon Web Services in India by 2022, thereby promising many job openings for analysts in the coming years. There are over 4000 job openings listed in Linkedin for Data analysts in Hyderabad.
    It is never too late to become an expert in Data Analytics. Students can start learning Data analytics at undergraduate levels, while working professionals can take up online courses on data analytics. It has led to an increase in the number of individuals from other fields or industries pursuing Data analytics courses to fulfil these job roles. Generally, most professionals pursue Data analytics after 1 or 2 years of work experience. However, there are many Data analytics Postgraduate programmes that one can pursue directly after graduating. It will help to have a bachelor’s degree in statistics, mathematics, IT, computer science or computer applications. This allows easy progress into Data Science and other fields such as Data Engineering. There are many reputed boot camps, online Data analytics courses and degree programmes that can help budding analysts acquire the required foundations and skills to become a Data analyst. However, candidates must first join as an entry-level Data Analyst and work their way up through learning and experience to truly become a Data analytics expert.
    Here are some tools and skills that can help you become an expert in Data analytics.
      SQL
    • Microsoft Excel
    • Microsoft Power Bi
    • R or Python
    • Mathematical and Statistical skills
    • Machine Learning (Additional)
    Also,
    • Find the right crowd with similar goals.
    • Stay updated about projects and opportunities.
    • Find a mentor with incredible industry experience.
    • Get involved in projects and build a portfolio.

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    Notes
    Data Analytics is a prime job family of focus in the coming years, and companies in Hyderabad offer desirable salaries to analysts who work in this city. The analytics industry will be worth over $20 billion in India, and Hyderabad will have a huge part to play to achieve this. According to Glassdoor, freshers earn an average of Rs. 4,80,151 per annum based on 415 salaries. Glassdoor also estimates that senior data analysts in Hyderabad earn a median of Rs. 8,94,735 annually. Payscale reports similar numbers, with Rs. 4,46,166 being the average annual salary of a Data Analyst in Hyderabad, with a huge chunk of salaries going up to Rs. 9,92,000 per annum. Here are the average salaries of Data analysts across some popular companies in Hyderabad.
    • IBM: Rs. 5,24,025
    • Amazon: Rs. 4,72,998
    • Accenture: Rs. 4,40,223
    • Google: Rs. 13,53,412
    • Cognizant: Rs. 5,77,610
    • Deloitte: Rs. 6,04,339
    Here are the median salaries of other related job roles in Hyderabad:
    Financial Analyst: 4,76,111 per annum (Based on 282 salaries)
    Business Analyst: 6,64,941 per annum (Based on 1249 salaries)
    Operations Analyst: 4,17,744 per annum (Based on 38 salaries)
    Google CEO Sundar Pichai had agreed earlier this year that 50% of all the employees would need upskilling or reskilling by 2025. This is mainly due to the growing need for analytical tasks and the need to work with data across various fields and industries.
    Data Analytics also makes way for more focused analytical processes such as financial or operational analytics that concentrate on specific data and specialised job roles. For instance, financial analytics only focuses on financial data and market data to help companies take advantage of economic factors. On the other hand, operational analytics is involved in comparing real-time performance metrics against organisational requirements. Meanwhile, Marketing analysts study customer behaviour, trends and demand to help companies increase sales or profit. The bottom line - different types of analytical methods help companies understand the varied data elements of a dataset.
    The employment of Data analysts is expected to grow by 11% by 2024 as compared to 2014. Let us check some Data Analytics-focused job roles for future analysts.
    • Business Analyst
    • Operations Analyst
    • Financial Analyst
    • Marketing Analyst
    • Medical analyst
    • Data Miner
    • Database Administrator
    • Data Engineer
    • Data Scientist
    • Data Specialist
    • Business Intelligence Consultant

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    upGrad PG Diploma in Data Science Program is in collaboration with IIIT-B. At upGrad we have empowered 12,600+ students in various fields ranging from Machine learning to Data Science to Data Analytics.  More than 500 learners have had a successful transition with 72 LPA as the highest salary. Once the program is over you will have job opportunities in various roles such as Machine Learning Engineer, Data Engineer, Data Scientist, Data Analyst, etc.

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