A Career as a Data Analyst

Data Analyst and Data Scientist: Do you think both of them perform the same functions?

A data scientist is a person who will study and predict the future of a company

by analyzing past information. A data analyst is a person who extracts the

relevant information from the raw data analytics. The job of a data

scientist is surrounded by the valuation of the unknown data, whereas a

data analyst job revolves around searching for the relevant information

from a new viewpoint.

Data scientists usually prepare their own questions while data analysts

will find out the answers from a given set of questions. Data analysts are

involved in making business decisions on a daily basis. They find out the

problems in a business. The data scientist will study these problems and

find out a proper solution to them.

The differences between a data scientist and a data analyst

The role of a data scientist is to convert the data insights into a business.

A Data scientist possesses strong business skills. He/she may thoroughly

examine the data from different sources and generate a set of questions

that helps in making better business decisions. They need to work

in a very challenging environment. They need to be more productive in

their work. For a data analyst, they only extract the relevant information

from the data. They rely on a single source of data. A data analyst does not

need work experience like a data scientist. Their main purpose is to find

problems in a business environment.

Both of them possess similar skills because both of them require some

knowledge of mathematics, engineering, and good soft skills. Data

analysts are required to master the database language. Data scientists

must have the skills of a data analyst and also they should have a strong

base in statistics and computer science. The main difference between both

of them is a data scientist possesses good consumer insight skills which

are not necessary for a data analyst. 

Role responsibilities

A Data scientist always relies upon retrieving new information from the data.

They need to organize data for analysis and identify and produce more questions

on data sets. Data scientists need to learn and develop machine learning. They

are also responsible for data visualization. A data analyst should master the

database management system and solve business problems. They also work

along with the science and engineering team to create and generate reports

and designs by using many statistical tools.

Educational Qualification

You can be a data analyst with no prior experience if you are a science,

math, statistics or economics graduate.  But if you are seeking a higher

post, you should have a master's or doctorate degree. To become a data scientist,

you may need the same qualifications as a data analyst. But if you are an

engineering graduate with relevant programming language skills, it will be easy

for you to get a data scientist job.  You must also possess analytical and

machine learning abilities.

Career-wise, they both have equal opportunities in India and abroad because

both of them are globally acclaimed positions.  But if we compare the salary of

both, data scientists have a higher pay scale than a data analyst. Both roles are

very important for a company anyway. If you want to master and develop the

skills of analytics, go enroll for data analytics certification and get your

certificate in data analytics. Explore and build your career in data analytics.

Phone Number: +60 19-479 1378 Address: INNODATATICS SDN BHD (1265527-M) Level 16, 1 Sentral, Jalan Stesen Sentral 5, KL Sentral, Kuala Lumpur, Malaysia. Link: https://g.page/360DigiTMG-DataScience-Malaysia/