Carlow Today & Tomorrow | Blog

A positive job outlook is just one of many compelling reasons to become a data analyst.

The field of data analytics involves the analysis of data to get better insights and information. It offers several opportunities thanks to the rise in predictive analytics, new technology solutions and more organizations adopting big data analytics. The reasons to become a data analyst are growing as fast as these developments.

As the data analytics market grows, so will the demand for skilled data analysts. According to the U.S. Bureau of Labor Statistics, analyst jobs are projected to grow faster (by 25 percent) than the average for all occupations through the year 2030.

This is not surprising when considering that more companies are becoming data driven. A World Economic Forum survey reports that more than 80 percent of companies will use big data by 2025. The same report lists data analysts among the jobs with the highest demand across industries.

Certainly, careers in data analytics are on the rise. Now may be the time to become a data analyst. Here are five reasons why.

1. Gain in-demand skills

Data analysts add value to their organizations by using skills in math, programming, data visualization, machine learning and analytical applications such as Structured Query Language (SQL), Power BI and Python. Additionally, data analysts often apply research, writing and project management skills.

These skills are valuable because they benefit business intelligence. With the help of data analytics, companies can make better decisions that lead to more efficient business operations.

2. Advance as a leader

Data analysis is one path toward becoming a leader. Data analysts must collaborate and communicate with different team members and stakeholders—part of what it takes to be leaders in business. They provide insights that improve processes, spark innovation and support a great work environment for employees.

Typically, data analysts have varied and dynamic skillsets. They gain confidence by organizing multiple tasks and priorities while honing important collaboration and presentation skills. These characteristics can put them on track to becoming managers and leaders in their organizations.

3. Be in the know

Companies have embraced data analytics to drive initiatives and change-management efforts. This data can come from anywhere, like customer information, website data and sales transactions. Data is often used to improve business results, boost productivity and reduce waste of resources.

Data analysts are usually highly knowledgeable sources of information. Their awareness of the details and ability to ask the right questions contribute to thoughtful actions.

4. Boost problem-solving skills

A career as a data analyst is a good fit for someone looking to improve their problem-solving skills. Problem solving is a critical part of data analysis. Data analysts’ solutions impact business, staff and customers. Organizations rely on individuals who can evaluate various situations and identify solutions.

Problem-solving skills are not only valuable at work, but useful in personal areas involving decisions and relationships.

5. Remote work opportunities

The 2020 pandemic had a major impact on remote work. Companies had to adjust to lockdowns that meant employees could not be in workplaces. In many cases, this led to improved productivity, increased employee satisfaction and reduced company costs. These were positive developments, and many companies are now remote-friendly or have a hybrid structure.

Data analysts often work independently, fitting well with the remote-work model. When they do need to collaborate, it can be done virtually using various software and tools. For these reasons, data analytics is a career that offers flexible arrangements that support work-life balance.

Become a Data Analyst

Are you ready to launch a career in data analytics? Your journey to becoming a data analyst begins with education. Carlow University’s Bachelor’s Degree in Data Analytics has a curriculum designed to equip students with in-demand analytics competencies. Gain the foundation needed to help lead an organization on the path to growth.

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