As an expert in the field of data analytics, I've observed the industry's evolution and the growing demand for professionals with these skills. Data analytics is a critical component of many businesses today, as it helps organizations make informed decisions based on large volumes of data. Let's delve into the current state and future outlook for data analysts.
Step 1: English Answer
The demand for data analysts is not only high but continues to grow at a rapid pace. This trend is driven by several factors:


1. Digital Transformation: As more companies undergo digital transformation, they generate vast amounts of data. This data needs to be analyzed to extract valuable insights, which can then be used to improve business operations, customer experiences, and drive innovation.


2. Big Data and Analytics: The advent of big data has led to an explosion in the volume, variety, and velocity of data. Data analysts are required to make sense of this data and turn it into actionable insights.


3. AI and Machine Learning: With the rise of artificial intelligence (AI) and machine learning, there is an increased need for professionals who can work with these technologies to analyze data and develop predictive models.


4. Cloud Computing: The shift to cloud-based services has made it easier for companies to store and process large datasets, which in turn increases the need for data analysts to manage and interpret this information.


5. Regulatory Compliance: Many industries are subject to strict regulations that require detailed data analysis to ensure compliance. Data analysts play a crucial role in these processes.


6. Business Decision Making: Data-driven decision making is becoming the norm across industries. Data analysts are essential for translating complex data into understandable and actionable insights for executives.

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Healthcare and Life Sciences: The healthcare sector is increasingly reliant on data analytics to improve patient outcomes, manage costs, and conduct research.

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E-commerce and Retail: Online retailers use data analytics to personalize shopping experiences, optimize pricing, and manage inventory.

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Financial Services: Banks and financial institutions use data analytics to detect fraud, manage risk, and make investment decisions.

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Cybersecurity: Data analysts are vital in the field of cybersecurity, where they analyze patterns to identify potential threats and vulnerabilities.

According to a report from the World Economic Forum, data analysts are among the top ten most in-demand jobs globally. The U.S. Bureau of Labor Statistics projects that employment in computer and information research, which includes data scientists and analysts, will grow by 15% from 2019 to 2029, much faster than the average for all occupations.

The statement you provided, which mentions a projected demand spike of 28% by 2020 for Data Scientists and Advanced Analysts, underscores the urgency for these roles. While the specific percentage may vary, the overall trend of increasing demand is consistent across various industry reports and forecasts.

It's also worth noting that data science and analyst jobs are among the most challenging to fill, as indicated by the longer time it takes to find qualified candidates. This suggests that the demand for skilled data analysts outstrips the supply, leading to a competitive job market for those with the right qualifications.

In conclusion, the demand for data analysts is robust and expected to grow. Professionals with the right skills and experience are in a strong position to find opportunities across a wide range of industries.

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The fastest-growing roles are Data Scientists and Advanced Analysts, which are projected to see demand spike by 28% by 2020. Data Science and Analyst jobs are among the most challenging to fill, taking five days longer to find qualified candidates than the market average.May 13, 2017read more >>