How to Become a Data Analyst
How
to Become a Data Analyst
What is Data Analytics?
From a bird's eye view, the term “analyse” can mean scrutinizing something to derive useful
information from it. Hence, data
analytics can be defined as the
process in which meaningful insights are drawn from raw data by scrutinizing
it. Such insights can be your business information, product innovations, market
trends, etc.
Data analytics can be compared to how you make a jigsaw
puzzle. Your first step is to gather all the puzzle pieces and then fit them
correctly to bring out the final picture. Similarly, in data analytics, you
have to analyze data collected from several sources, clean it, and then
transform it into information that humans can interpret.
The collected data can be structured, semi-structured, or
unstructured in nature. The final result can be visually represented as graphs
and charts which provide precise results of the analysis. Several tools and
frameworks are used in the analysis process.
There is a high requirement for professionals who can help
organizations convert raw data into meaningful information, which in turn can
help the growth of the business. There are several job roles in the field of
data analytics, and among the job pool, becoming a data analyst offers the most
amazing career opportunities. So what’s next: understanding how to become a
data analyst.
Who is a
Data Analyst?
A data analyst collects, processes, and performs analysis of
large datasets. Every business, be it small or big, generates, and collects
data. This data can be in the form of customer feedback, accounts, logistics,
marketing research, and so on.
A data analyst is a professional who takes this data and
figures out numerous measures, such as how to improve customer experience,
price new materials, and how to reduce transportation costs, to name a few.
Data Analysts deal with data handling, data modelling, and reporting.
And once you know who is a data analyst, it's paramount to
know the roles and responsibilities of a data analyst.
Responsibilities
of a Data Analyst
The data analyst designation comes with a bunch of roles and
responsibilities. And the first step to becoming a data analyst in
understanding the responsibilities of one! Some of the common and expected
responsibilities of a data analyst are:
1.
Understanding the Goal
First and foremost, a data analyst must identify the
organization’s goal. They must assess the available resources, comprehend the
business problem, and collect the right data.
2.
Querying
Data analysts write complex SQL queries and scripts to
gather, store, manipulate, and retrieve information from relational databases
such as MS SQL Server, Oracle DB, and MySQL.
3. Data
Mining
Data is mined from a plethora of sources and organized to
obtain new details from it. By doing so, data models are built to increase the
efficiency of the system.
4. Data
Cleansing
Cleaning and data wrangling is the vital duties of a data
analyst. The data gathered initially will often be messy and have missing
values. Hence, it’s crucial to clean the collected data to make it ready for
the analysis purpose.
5. Data
Examining
Data analysts use analytical and statistical tools, including
programming languages, for carrying out a logical examination of data.
6.
Interpreting Data Trends
Data analysts use various packages and libraries to spot
trends and patterns from complex datasets, thereby discovering unseen business
insights.
7.
Preparing Summary Reports
Data analysts prepare summary reports with the help of data visualization tools These reports guide the leadership team to make
timely decisions.
8.
Collaborating with Other Teams
Data analysts interact with the management team, development
team, and data scientists to ensure proper implementation of business
requirements and figure out process improvement opportunities.
And now that you’re well aware of the roles and responsibilities of a data analyst, you are ready to unlock the secret - how to become a data analyst.
Data
Analyst Skills
To fulfill the responsibilities (mentioned above) a data
analyst must possess a vast and rich skill set. From domain expertise to various
tools, here’s all you need to become a data analyst.
1.
Degree and Domain Expertise
You must hold a degree in any relevant field, and should have
domain knowledge in the area you are working in. If you are from a different
background but wish to become a data analyst, it is possible if you have the
required skill set.
2.
Knowledge of Programming
You should have hands-on experience with programming
languages such as Python, R, and JavaScript. Writing programs will help you
solve complex problems.
3.
Knowledge of Data Analysis Tools
You should be experienced in working with databases and data analysis tools. You
should be proficient in writing SQL queries and procedures, know Microsoft
Excel, Matlab, and IBM SPSS to analyse trends and plan to drive accurate
insights.
4.
Understanding of Statistics and Machine Learning Algorithms
You must know concepts like probability distributions,
hypothesis testing, regression analysis, and various classification and
clustering techniques.
5.
Knowledge of Data Visualization Tools
A data analyst must be able to create different business
reports using several data visualization tools. You should know to use tools
like Tableau, QlikView, and Power BI. In addition to that, you must have good
communication and presentation skills too. This will help you convey your ideas
to stakeholders and clients.
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