this is one of the most popular questions asked by
learners looking for a career in data and analytics,
these job roles in the ever-growing data science
landscape,
though they all deal with data these jobs are not the
same,
there are significant differences between what a data
analyst data engineer and a data scientist does.
we will look at these job roles and the
differences in detail,
1
- Data Analytics and Data Science Trends
The analytics and data science smart data is thriving data
analytics data engineering and data science are the key trends in today's accelerating
market.
As per statista.com global big data analytics
market revenue will grow at a cagr of 30 percent with revenue reaching over 68
billion us dollars by 2025.
According to technavio the enterprise data
management market is expected to ncrease by 64.08 billion us dollars by 2025.
As per
marketsandmarkets.com the big data market
size is projected to grow from 162.6 billion us dollars in 2021 to 273.4
billion u.s dollars in 2026.
Another report from research drive says that the data
science platform market is estimated to reach 224.3 billion us dollars by 2026.
So with so much data available and companies making
huge investments to drive business and sites the job opportunities for data
analysts data engineers and data scientists are going to increase in 2022 and
over the coming years.
2
- Major Differences Between Data Analyst, Data Engineer, Data Scientist
1 - Data
Analyst
A Analyzes and interprets vast volumes of data in
order to extract meaningful information out of it they find solutions to a
business problem and make critical business decisions,
the insights provided by data analysts are important
to companies that want to understand the needs of their end customers.
2 - Data Engineer
A data engineer on the other hand builds infrastructure
and scalable pipelines to manage the flow of data and prepare it for analysis,
So basically they optimize the systems that enable
data analysts and data scientists to perform their job efficiently,
3 - Data
scientists
Data scientists are professionals who analyze and
visualize existing data and use algorithms to build predictive models for
making future decisions they also engage with business leaders to understand
their needs and present complex findings.
With that the primary roles and responsibilities of these
three job roles,
3 – Role And Responsible Of Data Analysits,
Data Engineer , Data Scientist
Data analysts
are responsible to collect
-
Clean store and
process data
-
Discover hidden patterns from data
-
Performing exploratory data analysis and
-
Visualize data by creating charts and graphs
-
Acquiring data from primary and secondary sources is
one of their key tasks
-
Build reports and dashboards and also maintain
databases
Roles and responsibilities
of a data engineer
Data engineer performs
-
Data acquisition
-
Design build and test data
-
Develop and maintain data architecture
-
Data engineers are tasked with testing integrating
managing and optimizing data from a variety of sources,
-
Integrate data into existing data pipelines
-
Prepare data for modeling and perform various etl
operations
Roles and responsibilities
of a data scientist
-
Develop machine learning models
-
Identify trends in data for making decisions
-
Develop hypothesis and use the knowledge of statistics
-
Data visualization and machine learning to forecast
the future for the business
-
Data scientists visualize data and use storytelling
techniques and
-
Write programs to automate data collection and processing.
4 - Skills
Possessed By Data Analysts Data Engineers And Data Scientists.
To become a data analyst you need to have good
hands-on experience with writing sql queries.
You should have excellent microsoft excel skills for
analyzing data.
Data analysts are also good at programming and they need
to know how to visualize data solve business problems and possess domain knowledge.
Data engineers should have a solid understanding of
sql mongodb and programming.
they need to have a good command of data architecture
scripting data warehousing and etl.
data engineers are also good at hadoop based analytics
now talking about the skills for a data scientist
So a data scientist should have experience with
programming in python and r,
this would have a very good understanding of
mathematics and statistics as well
data scientists need to possess
analytical thinking and data
visualization skills as well,
machine learning deep learning and
decision making are other critical
skills every data scientist should have,
5 - Salaries Of A Data Scientist A Data
Analyst As Well As A Data Engineer
so a data analyst in the united states earns over
seventy thousand dollars per annum while in india a data analyst can earn
nearly seven lakh twenty five thousand rupees per annum.
A data engineer in the united states can earn over
hundred and twelve thousand five hundred dollars per year and in india you can
earn over nine lakh rupees per annum.
We're talking about the salary of a data scientist a
data scientist in the united states earns over 117 thousand dollars per annum
and in india a data scientist can earn over 11 lakh rupees per annum.
We look at the
top companies hiring for data analysts data engineers and data scientists.
so we have the first company as google then we have tesla,
next we have the e-commerce giant amazon,
the internet giant facebook or,
the social media giant facebook,
we have the tech giant oracle,
we also have verizon and airbnb,
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