In this
blog I will explain you about what skill sets are needed to be a successful
data analyst. This will help you to prepare interview or once you joined as
data analyst it will help you to became successful.
1.Microsoft
excel:
First
skill is Microsoft excel, which is widely used for data entry, Data management,
financial analysis, Accounting, Task management, making chart and graph, it is
perfect for small data sets, so data analyst must be aware about is formulas, functions,
features, macros, pivot table, creating chart and graphs are most used to visualized
data.
2.SQL (Structured
Query Language):
SQL is used to communicate with a database such
as update data on a database or retrieve data from a database. There are
three most popular database where we can use SQL to update data on a database
or retrieve data from a database. Oracle Database, Microsoft SQL Server,
MySQL. So having hands on experience on SQL for data extraction, data collection.
3.Data Visualization Tools:
You should be familiar with
at least one Data Visualization Tools. There are so many Data Visualization Tools
are in market such as Microsoft Power BI, Tableau, Qlik Sense,
Looker, IBM Cognos Analytics, Sisense, Tableau and Microsoft
Power BI are the data visualization tool that can be used by data analysts, scientists, statisticians, Microsoft
Power BI, Tableau are mostly used to many data sources to create interactive
dashboard and reports. Such dashboard and reports provide us actionable
insights from row data.
4.Industry Domain Knowledge:
You should have good
knowledge about market or industry. There is multiple industry domain in market
such as Banking, Finance Services and Insurance, E-commerce, IT industry,
Retails, financial, health care, Industrial Manufacturing, Automotive & Transportation,
Online Services and marketing, Telecommunication. Having computer skill is not enough for
successful data analyst. We should have domain knowledge to whom you are
working for. We need to understand row data and need to create chart and graph
that can help management to future actions.
5.Presentations and
communications skills:
As a data analyst we
need to work with different departments, stake holders, engineering teams. We need
to communicate with manager for data gathering as well as provide them with data
insights that helps to predict business movement. So having command over
communication skill and presentable will help us to be successful data analyst.
6.Statistical
programming language:
Experience in any statistical
programming language will help you most as data analyst. It is not that much necessary,
most of the companies do not require this skill set but that will help you
more. Python is the most widely used data science programming language now
day in most of industries. JavaScript, Scala, R and Julia
are most popular programming languages used by data scientists or data analyst.
7.Statistics and Mathematical
As a data analyst do
need to be good with numbers, Statistics is science about data analysis, data
collection, interpretation, and presentation on data. Having knowledge in
Statistics help to make decisions based on data
and make predictions. Essential Mathematical topics for a data analyst include calculus, and discrete mathematics,
algebra (basic & linear).