In this article, we are going to answer a very popular question – what is the role of a fresher Data Analyst in day-to-day life. Let’s begin!
In today’s 21st century, data is becoming the new oil. The amount of data is growing exponentially nowadays. Today, we can best estimate that at least 2.7 quintillion bytes of data is produced every day (that’s 2.7 followed by a staggering 18 zeros!).
This data is being generated from all over the world including our web searches, content we view on YouTube, videos, and images we share and nearly from almost all industries.
Some researchers say that data is becoming the new coal. Like, coal has limitless potential, and it can be used in various areas by just amending and utilising its different features, similarly data can be used to find unanswered questions by correctly utilising it.
We have heard the job title “Data analyst” many times floating around lately and it sounds like an intriguing career. The idea of working with data and technology has definitely raised the curiosity, but what does a data analyst do all day?
Who is a Data Analyst?
A Data Analyst is a person who gathers, cleans, and studies data to help solve any business problems. A Data Analyst is the one who collects data from various sources, cleans it using several tools, and interprets the data results in order to answer a question or solve a problem. A data analyst is nearly found in several industries like business, finance, technology, e-learning, criminal justice, science, medicine, and government.
Some of the analysis of Data Analyst includes “What kind of customers should a business such as Google target in its next ad campaign?”, “What age group of people is most vulnerable to a particular disease?”, “What patterns are connected to financial fraud?” or “How many sales can we expect in the next few coming years?” etc.
These are the types of questions that one need to answer as a data analyst.
What is Data Analysis?
Data Analysis is defined as the process of gleaning insights from data to help inform better business decisions. The process of analysing data typically moves through five iterative steps:
- Identify the data we want to analyze
- Collect the data
- Clean the data for analysis
- Analyze the data
- Interpret the results of the analysis
Data Analyst Tasks And Responsibilities
A Data Analyst is someone whose job is to gather and interpret huge quantities of data in order to solve a specific problem. This role includes plenty of time spending with data getting insights about data but entails communicating findings too.
Here’s what most of the Data Analysts do on a day-to-day basis:
- Gather data: Data Analysts often collect data themselves. This could include conducting online or offline surveys, tracking customer or a visitor attribute on a company website, or buying datasets from data collection specialists.
- Clean data: Raw data might contain duplicates values, errors (no values present), or outliers (some data points that don’t follow data trend). Cleaning the data refers to maintaining the quality of data in a spreadsheet or through a programming language so that the interpretations won’t be wrong or biased towards data points.
- Model the data: This entails creating and designing the structures of a database. The data analyst will choose what to store and what to discard, how several data is related to each other and how one represents data in the database.
- Interpret data: Interpreting data involves finding patterns or trends in data that will help one answer the business problem one is solving.
- Sharing Results: Communicating the results of the findings will be a key part of this job. We do this by putting together visualizations like charts and graphs, writing reports, and presenting information to interested parties.
What tools Do Data Analysts Use?
During data analysis, data analysts use a wide variety of tools to make their work accurate and efficient.
Some of the most common tools include:
- Microsoft Excel or Google Sheets
- SQL database (MySQL, PostgreSQL)
- Python programming language
- Microsoft Power BI
- Jupyter Notebooks or Google Colaboratory
Skills Required for Data Analysts
Below are the set of tools for a Data analyst and in order to become a data analyst one should master these skills.
- They must have moderate math and statistical skills
- Also, they must have a strong business acumen
- They must be familiar with moderate computer science / coding skills
- Develop key performance indicators
- Create visualizations of the data
- Utilize business intelligence and analytics tools
So, here we learned what is the role of a fresher Data Analyst in day-to-day life. We hope you like this article. Explore more by clicking the below links. Happy Learning!
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