How To Build A Smart Career In Data Analytics

Data analytics is a vast sector that encompasses many diverse types of data analysis

Data analytics is the process of analyzing raw data to find insights and to make conclusions about that information. Several processes and techniques of data analytics have been used in algorithms and mechanical processes that work over raw data for human requirements and consumption. Data analytics can reveal metrics and trends which can be used to optimize processes to increase the overall efficiency of a system or a business.

Data analytics is a vast sector that encompasses many diverse types of data analysis. It helps a business optimize its performance, and make better business decisions. It is also useful in analyzing customer trends and satisfaction. It involves determining, dividing, collecting, organizing, analyzing, and cleaning up the raw data to find useful insights and information. It focuses on coming to conclusions based on what the analyst already knows.

Types of Data analytics

There are four basic types of data analytics mentioned below.

Descriptive analytics - It describes what has happened over a particular period and place.

Diagnostic analytics - It focuses on why something happened. It includes more diverse data and a few hypotheses. For instance, it tells us about weather effects and the latest marketing trends/ strategies/campaign impact on sales.

Predictive analytics - It keeps eyes on what is going to happen shortly and in the long term.

Prescriptive analytics - It suggests the actions to be taken such as what actions will be the best to increase the sales. It tells us about the steps, processes, and strategies to take action for the growth of a business.

So this article will tell us all about a career in data analytics and why learning it, probably through data analytics bootcamp, is beneficial for your career growth.

A Career In Data Analytics

Data analytics job roles are some of the most sought-after professionals globally. As the demand is so high, and the supply of skilled data analytics is so limited, so data analytics command high salaries and superior perks, even at the entry-level. Any company that uses data needs data analysts, so these jobs can be found throughout a diverse mix of industries and companies.

Top job roles in Data Analytics

According to IBM, the number of jobs for data professionals in the U.S will increase to 2,720,000 by 2020. Here are some topmost job roles under the data analytics umbrella.

Business Intelligence Analyst - This job title requires basic knowledge and working with SQL, strong communication skills, skills with data visualization and modeling, etc. A business intelligence analyst’s main job is to find value and patterns for the industry and company data. They can earn an average salary of $95,838 per year.

Data Analyst - The basic job of a data analyst is to analyze data, as the job title implies. They can be found in every company and organization that analyzes data to find opportunities. The average salary for a data analyst is $75,253 per year.

Data Scientist - This job title is a technical step ahead of a data analyst that collects and analyzes data and communicates actionable insights. They can earn an average salary of $91,494.

Data Engineer - They always focus on huge datasets and are tasked with optimizing the infrastructure through a variety of data analytics processes. Data engineers can earn an average salary of $90,963.

Quantitative Analyst - This job role is another highly sought-after professional, in financial terms. Quantitative analyst’s work is related to risk management problems and financial investment opportunities. The median salary for quantitative analysts is $82,879.

Operations Analyst, Marketing Analyst, IT System Analyst, Data Architect, Data and Analytics Manager, Machine Learning Engineer, Data Analytics Consultant, Business Analyst, etc are some more important job roles in the data analytics field.

Skills Required To Become a Data Analyst

Data Analytics job roles require the following skills and expertise. Make sure you have mastered these before you start your career as a data analyst.

Python - It is one of the most commonly used programming languages and every data analyst should know this language. To advance your programming language proficiency, learn how to analyze and manipulate data.

SQL- Learning Structured Query Language (SQL) is a necessary aspect of data analytics. The experience of SQL will give you a good foundation to start your journey as a data analyst.

Data Visualization Skills- These skills will help you to visualize data and communicate results to the stakeholders.

These skill sets have a high demand and high pay, on the job market. So start to master these skills to find your niche as a data analyst.

Why Learn Data Analytics?

As there is such a boom in the use of data analytics, having the skills required to work with data is valuable. The need for these skills is going to become more crucial as more businesses and industries jump to adopt data analytics. So employees must learn and take data analytics courses for the better growth of their career as a data analyst, for the following reasons.

Achieve Problem Solving Skills- As we know that data analytics is all about solving problems, so candidates can gain much better problem-solving skills with a data analytics course. It helps to gain the ability to think analytically and approach problems in the right way.

High Demand- Learning data analytics is beneficial as there is a high demand for skilled professionals in this domain. Data Analysts are valuable as there is a big shortage globally with more sectors and businesses starting to work with big data.

Analytics Is Everywhere- As we know that data is now everywhere, so is analytics. It provides new opportunities for talented and skilled employees. Several organizations are looking to capitalize on data to improve their growth and process, so it’s the right time to start a career in data analytics.

“The opportunity to leverage insight from data has never been greater.” It’s never too late to learn or take the courses to become a successful data analyst. It provides a wide range of opportunities to showcase your data skills. So are you ready to land your career in data analytics?

Disclaimer: No Asian Age journalist was involved in creating this content. The group also takes no responsibility for this content.

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