Data analysts are in high demand, especially in these fields

There is a severe lack of data talent and more than 86,000 unfilled positions throughout the globe that need data analytics expertise. Several of these jobs no longer go by the label “data analyst” alone. That’s because data analysis is useful across many sectors, and there are now specialized data occupations in many areas.

Finance, business, healthcare, e-commerce, and marketing are now just few of the fields where data analysts may be found. The growth of the modern digital economy may be attributed in part to the analytical power of big data. Data is a competitive advantage in almost every field nowadays.

So, which sectors are actively seeking Data management and analytics companies? Where would you recommend looking for work?

This article will examine the fields that are actively seeking out and employing data analysts. We looked at job postings from many sites to determine which sectors offered the greatest opportunities in data science.

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Business Intelligence

Data analysts are in high demand, with Business Intelligence being one of the top three recruiting sectors. According to a fast search on Indeed, about 20% of all data analytics positions available throughout the world are in the business intelligence field.

In the 1990s, the concept of “business intelligence” (BI) emerged. Business intelligence (BI) integrates data collection, data storage, knowledge management, and data analysis to assess and convert massive data into actionable insights that may guide company strategy, operational improvements, and other crucial decision-making.

In both the United States and Europe, businesses that provide business intelligence have the most available positions for data analysts. Data analytics and machine learning are being used by multinational corporations to develop sales-driving prediction algorithms.

Money and Banking

When it comes to using big data to their advantage, financial services were the pioneers. Data specialists may make good money in the finance industry, particularly in the fintech sector. In addition, the financial sector is largely responsible for the creation of northern hemisphere employment. Financial institutions employ data analytics for a wide variety of purposes, including but not limited to: risk assessment, informing investment choices, spotting patterns, and prediction.

Services for the sharing economy

Services that facilitate resource sharing are trending presently. Almost every major city is actively seeking qualified data professionals. Services in the sharing economy are defined. To illustrate, consider services like Uber, Lyft, GrubHub, Postmates, and Rover.

In 1995, the first digital community began operating. Due to its early prominence as a worldwide online marketplace, eBay is often credited as the first platform to facilitate the growth of the sharing economy.

The growth of the sharing economy since then is undeniable. Whether you need a ride, groceries, a place to stay, or someone to look after your pets, there’s probably an app or website for that. Data is utilized in sharing economy services for several purposes, including assigning jobs to employees, determining pricing, expanding the user base, generating leads, cataloging information, and making recommendations.

Medical Care

The healthcare business, which has hitherto employed only paper-based record-keeping methods, is now making widespread use of data analytics. Information gathered in this manner can help us gain understanding of systemic inefficiencies, monitor the efficiency of individual practitioners, identify drug compositions, classify clinical data, diagnose diseases in images, and examine the habits of individual patients, among many other applications.

The healthcare sector is notoriously sluggish to adopt big data technologies, while being one of the sectors most in need of data management company in India expertise. Electronic health record systems, healthcare and pharmaceutical applications, online patient portals, telemedicine, and teletherapy are all on the rise, transforming healthcare into a data-intensive industry rich in job opportunities.

Entertainment Industry

The entertainment industry is more dynamic than ever. With the use of big data, streaming services have become dominant in this industry. Netflix is so good at data mining that it has an 80% success rate in recommending movies to subscribers and saves over a billion dollars a year in the process.

When watching the content provided by digital streaming services, each individual user generates massive amounts of data. Users’ actions (such as pausing, scrolling, clicking) as well as other data (such as location, time of day, weather, demographics, and the ads they interact with) are always being tracked and recorded.