Firstly, let us know what analytics is? Analytics brings together theory and practice to identify and communicate data-driven insights that allow managers, stakeholders, and other executives in an organization to make more informed decisions. A person who analyzes web traffic data is called a data analyst. A data analyst has three main tasks to perform, Data Analyst gathers the data, cleans the data, and thoroughly studies data sets to help solve the problems. Data collection is the procedure of collecting, measuring, and accurate insights for research using standard validated techniques. Data cleaning is the process of fixing or removing incorrect, corrupted, duplicated, or incomplete data with a data set. Are you looking for solutions to your web-related problems? Let you thoroughly read your data.
A process of obtaining insights from data to help inform better business solutions is called data analysis. While going through the analysis process, the analyst typically has to go through five different phases: Identify the data you want to analyze, Data collection, Clean the data in preparation for analysis, Data analysis, and Interpret the results of the analyzed data. Data analysis is done in different ways like descriptive analysis, predictive analysis, and prescriptive analysis. It depends on the queries you are seeking to resolve.
MAJOR TASK AND RESPONSIBILITIES OF DATA ANALYST
A data analyst is a person whose job is to gather and interpret data to solve a specific problem. The role of data analyst includes plenty of time spent analyzing data but entails communicating findings. Here’s what various data analyst has task and responsibilities:
top companies for data analyst often collect data by themselves. The data collection process is done through conducting surveys tracking visitors’ characteristics on a company’s website. There’s also an option to buy datasets already available to the data collection specialists.
- Cleaning the data means maintaining the data quality in a spreadsheet or a programming language so that your interpretations won’t be wrong or skewed. For example, raw data might contain duplicates, errors, or outliers.
- Model data entails creating and designing the structures of a dataset. You have the option to choose what types of data to store and collect. Establish how data categories are related and work through how the data appears.
- Interpreting data will involve finding patterns or trends in data that will help you answer your queries.
- Communication of the results of your findings will be an essential part of your job. You do this by chart and graphs, writing reports, and presenting information to interested parties.
IMPORTANCE AND DIFFERENT TYPES OF DATA ANALYSTS
Top businesses, top brands, or large companies need analytics to thrive as a brand. For decades, companies required professionals to help in competing with competitors as they don’t have enough relevant data. Today businesses are expanding rapidly. As the advancement of technology has increased the amount of information collected, knowing how to collect, organize and analyze data has become beneficial for almost any industry. You will find data analysts’ professionals in almost every field. The involvement of data analysts is in criminal justice, fashion, food, technology, business, environment, and public sectors. A data analyst might have other titles such as medical and health care analyst, market research analyst, business analyst, business intelligence analyst, operations research analyst, and intelligence analyst.
DESCRIPTIVE DATA ANALYTICS
It examines what happened in the past. All the facts have mentioned monthly revenue, quarterly sales, yearly website traffic, and others. These types of findings allow an organization to spot trends. And it is an important thing for all organizations.
Predictive analytics seeks to determine likely outcomes by detecting tendencies in descriptive analytics. It allows an organization to take proactive action for carrying out their business smoothly.
This analytics attempts to identify what actions are needed for businesses to take. This type of analysis is significant in its ability to solve potential problems or stay ahead of industry trends. Predictive analytics can be preceded by those who know how to use complex algorithms and advanced technology such as machine learning.
HOW CAN ANY INDIVIDUAL BECOME AN EXPERT DATA ANALYST TODAY?
There’s more than one path to becoming an expert data analyst. Data analyst technical skills and workplace skills are the two essential skills that every data analyst has to learn at their initial stage. The relational database development gave a new breath to data analysts, which allowed analysts to use SQL to retrieve data from the database. Data analysis has evolved with the development of computers and an ever-increasing move toward technological intertwinement.
Here are five steps to consider if you’re interested in pursuing a career in data science:
Achieve a degree in a field that emphasizes statistical, technical, and analytical skills.
- Learn essential data analytics skills
- Consider certification
- Get your first entry-level data analyst job
- Get a masters’ degree in data analytics
There are a few points that you should absorb to turn into a data analyst. First, there is a range of tools and data analysts use today. Some data analysts use business intelligence software. Others may use programming languages and tools such as various statistical and visualization libraries such as Python, R, Excel, and Tableau. Other skills include creative, analytical thinking, communication, database querying, data mining, data cleaning.
PLATFORMS FOR BUSINESS OWNERS TO REACH DATA ANALYSTS
There are many companies on todays’ date where professional data analysts are available. And business owners can easily hire them to get professional services. Data Society, Akira technologies, Nfinity, Business intelligence solutions LLC, TCG, end-to-end computing, and other companies are the top companies for analyzing data. Following companies don’t only do data analysis, but they help businesses predict their future and suggest the best solutions to achieve their business goals. The next depends on the information harvested from the big data that the company provides or data analysts have to extract from the web traffic. Hence data analysis is a tool that helps businesses in the present to make the best decisions to get their businesses where they need to be.
WHAT’S THE DIFFERENCE BETWEEN DATA ANALYSTS AND BUSINESS ANALYSTS?
Data analysts and business analysts both help drive data-driven decision-making in their businesses. However, data analysts tend to work more closely with the data itself, while business analysts address business needs and recommend solutions. Let’s take an insightful look at what makes each role unique and why you might choose to pursue either as a career.
Although data analysts and business analysts have similar roles, they use data to improve business decisions; they do so in different ways. Somehow, data analysts and business analysts both involve slightly different skill sets. While they both work with data, they do so in different ways. Here are some skills that both must have: oral and written communication, problem-solving, critical thinking, organizing, and collaboration.
What is the role of data analysts?
Data analysts gather, clean, analyze, visualize, and present existing data to help inform business decisions. A professional data analyst uses data to answer a query and empower decision-makers to plot the best course of action.
What is the role of business analysts?
Business analysts help identify problems, opportunities, and solutions for organizations. They review the company’s current operations, review operations and identify areas for improvement, present results and make recommendations, and support business decisions.