Is Data Analytics a Good Career?

Yes, data analytics is a very good career. Simply put, there has never been a better time to be a data professional. About 2.5 quintillion bytes of data are created every day—and that pace is only quickening.

That explosion of data is driving the industry that leverages it; as organizations’ data collection grows in scope and sophistication, it’s inevitable that they’ll want to make use of that data, and Data Analysts are at the forefront of this trend.

Fittingly, high demand for Data Analysts correlates to an increase in salary—many Data Analysts’ salaries sit quite comfortably above the NGN250,000 line, even in junior positions, with senior and highly specialized positions typically reaching over NGN750,000.

Besides the high demand and commensurate salary, Data Analysts have the opportunity to work collaboratively and contribute to the decision-making process at the highest level, which can also translate into an opportunity to move into more managerial positions.

Many Data Analysts also enjoy an ability to travel and work remotely or relocate easily, even internationally. Whether the nature of the work itself is a good fit depends entirely on the individual, but the salary, perks, and job security are considerable.

Skilled data analysts are some of the most sought-after professionals in the world. Because the demand is so strong, and the supply of people who can truly do this job well is so limited, data analysts command huge salaries and excellent perks, even at the entry level.

Data analyst jobs can be found throughout a diverse mix of companies and industries. Any company that uses data needs data analysts to analyze it.

Some of the top jobs in data analysis involve using data to make investment decisions, target customers, assess risks, or decide on capital allocations.

What Do Data Analysts Do?

Data analysts take mountains of data and probe it to spot trends, make forecasts, and extract information to help their employers make better-informed business decisions.

The career path you take as a data analyst depends in large part on your employer

Data Analyst Career Paths

Below is a list of some of the many different roles that you may encounter when searching for or considering data analysis.

• Business analyst: analyzes business specific data.

Management reporting: reports data analytics to management on business functions.

• Corporate strategy analyst: this type of role will focus on analyzing company wide data and advising management on strategy direction. This role may also be focused on mergers and acquisitions.
• Compensation and benefits analyst: usually part of a human resources department that analyzes employee compensation and benefits data.
• Budget analyst: focuses on the analysis and reporting of a specified budget.
• Insurance underwriting analyst: analyzes individual, company, and industry data for decisions on insurance plans.
• Actuary: analyzes mortality, accident, sickness, disability, and retirement rates to create probability tables, risk forecasting, and liability planning for insurance companies.
• Sales analytics: focuses on sales data that helps to support, improve, or optimize the sales process.
• Web analytics: analyzes a dashboard of analytics around a specific page, topic focus, or website comprehensively.
• Fraud analytics: monitors and analyzes fraud data.
• Credit analytics: the credit market offers a wide need for analytics and information science in the areas of credit reporting, credit monitoring, lending risk, lending approvals, and lending analysis.
• Business product analyst: focuses on analyzing the attributes and characteristics of a product as well as responsibility for advising management on the optimal pricing of a product based on market factors.
• Social media data analyst: social media and growing tech companies rely on data to build, monitor, and advance the technology and offerings that social media platforms rely on.
• Machine learning analyst: machine learning is a developing technology that involves programming and feeding machines to make cognitive decisions. Machine learning analysts may work on a variety of aspects including data preparation, data feeds, analysis of results, and more.

If you’re looking to break into the data analytics, just like any industry, there’s a set of tools you’ll want to know how to use. The data industry is rapidly changing and it is hard to keep up with the latest tools, but here are some tools and technologies that are here for the long haul.

• Microsoft Excel
• SQL
• Tableau
• R
• Python
• Power BI

Do you want to learn Data Analytics?

Enroll for any of our data analytics training courses at www.leadleapconsult.com

You can reach us on the following for more details

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