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8 Reasons Why Data Analytics is the Career for You in 2023

Explore the immense potential of a data analytics career in 2023. Unlock opportunities, insights, and growth in this dynamic field.

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8 Reasons Why Data Analytics is the Career for You in 2023

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  1. 8 Reasons Why Data Analytics is the Career for You in 2023 You can surely know why you should get a career in data analytics but before that it's crucial to know what data analytics actually is? Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data. Data analytics can shape business processes, improve decision-making, and foster business growth. The significance of big data analytics lies in its ability to help organizations leverage their data to identify new prospects, leading to more intelligent business decisions, more effective operations, increased profitability, and customer satisfaction. 5 Types of analytics-

  2. 1.Prescriptive 2.Predictive 3.Diagnostic 4.Descriptive 5.Cognitive Analytics 7 V's of Big Data Analytics 1.Volume 2.Velocity 3.Variety 4.Variability 5.Veracity 6.Value 7.Visualization 4 Types Of Data- 1.Nominal 2.Ordinal 3.Discrete 4.Continuous 5 C's of data analytics- 1.Communication 2.Collaboration 3.Critical thinking 4.Curiosity and creativity 4 A's of data analytics- 1.Acquisition or Access 2.Assembly 3.Analyze 4.Action or Decision

  3. 6 phases of data analysis- 1.Ask 2.Prepare 3.Process 4.Analyze 5.Share 6.Act The demand for data analysts is on the rise, but so is the competition for jobs. As a data analyst, you have the opportunity to work for startups, agencies, large corporates, or even freelance. Your skills can be utilized by all kinds of businesses who want to understand their processes, customers and business more. By gaining specialized skills, building a strong network, gaining relevant industry experience, and customizing your application materials, you can increase your chances of landing a data analyst job in 2023. Now let's discuss the 8 reasons why you should get a career in Data Analytics DATA GENERATION The annual revenue from data generation is set to reach $68 billion with 181 zettabytes of data being created. Customer data has become the world's richest currency. From it, businesses can determine all sorts of information such as: Behavioural patterns of their consumers What messages and campaigns do they respond well to Which platforms prove more fruitful Which demographics show positive responses and much more All of this information is collected seamlessly and by scale. It's therefore crucial for businesses to be able to make sense of this data and to do that, they require talented data analysts.

  4. HUGE DEMAND OF DATA ANALYSTS The demand for data analytics jobs will grow by 23% between 2021 and 2031, much faster than the average of 5% for all other industries. A prediction also said that there will be more than 3Million job openings for data professionals previous year. The last few years, especially since the pandemic, have given way to an astronomical rise in how data is collected and interpreted for business intelligence and decision- making. As new digital technologies emerge to assist and enhance businesses, the data analysts will become more and more valuable leading to fantastic career progression and job security. FAT SALARY PACKAGES With great demand comes great salaries! Due to the evident skill gap in qualified professionals, companies are willing to pay top rates for someone with data analytical skills. As you gain experience and move through the ranks, the pay moves with it- Junior Data Analyst India- 3.5 Lakhs per year Internationally- $53-58K Data Analyst India- ₹852,516 Internationally- $75K Data Analytics Consultant India- 23.0 Lakhs

  5. Internationally- $77K Senior Data Analyst India- ₹ 8.0 Lakhs Internationally- $97K Data Analytics Manager India- ₹ 22.0 Lakhs Internationally- $89K Insurance Claim Analyst India- 3 Lakhs Internationally- $51K Healthcare Analyst India- ₹4,43,458 per year Internationally- $63K Marketing Analyst India- ₹10,12,235 per year Internationally- $66K Financial Analyst India- ₹5,65,975 per year Internationally- $72K Systems Analyst India- ₹9,50,000 per year Internationally- $78K

  6. Data Scientist India- ₹ 25.0 Lakhs Internationally- $123K Machine Learning Engineer India- ₹11,14,004 per year Internationally- $146K Chief Data Officer India- 45.0 Lakhs Internationally- $179K ADOPTION OF DATA ANALYTICAL TECHNOLOGIES BY THE WORLD New tech makes life a whole lot easier to perform complex and time-intensive tasks. For larger businesses, they can have diverse and frankly staggering amounts of data sets to sort through. The reason these same companies are looking to adopt technologies that support their strategies is because, implementing analytics tools gives them a competitive edge. The global rate for adopting business intelligence is 26% 52% of software companies and 50% of finance companies use BI tools Organisations leave 97% of gathered data unused The global business intelligence market was worth $24 billion in 2021 Virtually every sector uses analytics on some scale, from automotive to fashion, to retail and e-commerce, there's no shortage of choice for which industry you'd like to work in. EASY TO BEGIN The best place to start a career in data analytics is by taking an online course. Here, you'll learn the fundamentals around data, its uses and programming tools such as Hadoop. The great thing about an online Data Analysis courses is the flexibility they offer. You can learn in your spare time or balance it around family and other commitments.

  7. Most are self-paced and blend practical and video-based learning and often can be completed within a few months. Gaining knowledge around data analytics and completing a course to earn certification will dramatically increase your chances of pivoting careers. BEING A DECISION MAKER Data analytics is a competitive resource for businesses as analysing data allows for more accurate and data-informed strategies, leading to better results and clearer decisions. As a key component of this driving force, organisations and managers look to a data scientist for guidance on what to do next. Data visualisation can be a powerful ally. Throughout your career in data science, you'll have the opportunity to collaborate with plenty of departments and individuals and help to deliver actionable insights. GROWTH OPPORTUNITIES Due to the sheer number of industries adopting data management you'll always have options for lateral and upwards movement. Marketing, business intelligence, healthcare and finance are a few examples of data- driven sectors but there are dozens more all reliant on data. The technical aspect of data science means you'll always have a new area to explore and refine, from programming to advanced statistical analysis, there is an abundance of growth opportunities. ALLY WITH MÉNAGE NAMES Generally speaking, the bigger the company, the bigger the reliance is on data scientists. In terms of who's leading the charge for data analysis software, you can expect names like Microsoft and IBM at the forefront. But when it comes to clients, there are some heavy hitters that prove alluring to data analysts: Bloomberg Deloitte Barclays

  8. HSBC Experian Amazon Google Netflix Hyundai General Motors JP Morgan Chase BT Apple The list is endless Conclusion The reasons just discussed are only a few reasons why one should adopt data analytics as a career. One can know the benefits of having a career in data analytics more, while pursuing a Data Analytics course. Getting a Data Analytics course from reputed Data Analytics Training Institute in Jaipur, Kanpur, Mumbai, Delhi, Noida and many more cities in India, is a foolproof investment as it will surely pave the way for you to become a successful data analyst while offering a secure job in which you can stay motivated, and expect regular growth in your career as well. Source Link: https://trustedblogs.co/2023/08/03/8-reasons-data- analytics-career/ ********************************************************** **********************************************************

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