A professional
in business analytics is more focused on optimizing and analyzing functions of
the business rather than the data.
The job is to
analyze the needs of a business to make it function more smoothly and also to
find out the areas of improvement. Thus improving the processing of the
business while also implementing new technology.
For example -
the client of the business, as well as the development team of the business,
may require the need of a business analyst.
A good business
analyst requires a certain set of skills which are given below:
A
good communicator
A person
working as a data analyst should be able to communicate the data with the
business people to provide concise and clear insights into the analysis.
A clear
projection of the insights found also helps all the other participants to
understand the situation and pitch in their recommendations to resolve or
better the issue.
Inquisitive
A person
working as a business analyst should have the drive and curiosity to learn new
things as well as figure out how different things fit together in a system as
it is very important that the person stays in sync with the developing industry
and adapt likewise.
A
problem solver
Business
analytics involves a lot of critical and logical thinking to solve problems and
find patterns in the provided data.
Therefore a
business analyst needs to be good at problem-solving because the use of
predictive analysis and statistics requires a large amount of critical
thinking.
A
critical thinker
Business
analysts need to be very critical thinker as they not only need to get insights
from the data, but also figure out the relevance of the data which is to be
used.
A
visualizer
To extract
worth from the data provided, an analyst is required to be an expert in
translating as well as visualizing data in a manner that is precise and concise
to avoid disorganization and make it easier to understand.
Detail-oriented
The analysts
are required to manage data which is very complex but they also have to be sure
about the implications of the insights that they provide to the business to
improve the strategies, processes, and tactics.
SQL
The coding
language used by databases is known as SQL and it is one of the most relevant
and important tools in the analytics industry.
To analyze and
extract data from the database, analysts need to write SQL queries.
Statistical
languages
Python for
general programming and R, for statistical analysis, are the programming
languages employed in analytics.
Knowledge of
these languages can be really helpful to work on large amounts of data, but is
not necessarily a requirement.
Statistical
software
For a career in
analytics, programming can be helpful, but is not necessarily a requirement as
it does not involve writing codes.
SPSS, Sage,
SAS, Mathematica are some statistical software that can help an analyst to
analyze and manage data.
Conclusion:
Business
analyst requires much lesser skills than data analyst and the skills are much
easier in comparison.
Comments
Post a Comment