Data Analyst — Turning Numbers into Narratives

In today’s data-driven world, the role of a data analyst has become increasingly important across industries.

Data analysts are responsible for collecting, organising, and analysing large data sets to help organizations make informed decisions and drive strategic initiatives.

Let’s explore the key responsibilities, skills, and qualifications needed for a successful career as a data analyst. 

A Brief About Data Analyst

Data analysts play a crucial role in transforming raw data into actionable insights that can drive business growth and success. They use various tools and techniques to uncover trends, patterns, and correlations within the data, ultimately turning numbers into narratives that can guide decision-making processes. 

Career Scope in Data Analyst

career & Scope of financial risk management

In the past decade, India has experienced explosive growth in the data analytics industry due to advancements in technology, increased data availability, a rise in internet users, and a growing need for data-driven decision-making.

Internet penetration increased from 20% in 2018 to 41% in 2019, as reported by the World Bank, and is projected to gain more than 900 million users by 2025. The growth has led to an increase in data collection in the data analytics industry, thereby providing opportunities to tap into various markets. 

Role & Responsibilities of Data Analyst

roles and responsibility of Data analyst

Data analysts play a critical role in assisting company management in making more informed business decisions.

They are tasked with a variety of responsibilities, including but not limited to:

  1. Data Collection: Gathering and compiling data from various sources such as databases, websites, and surveys. Also, collaborate with IT, management, and data scientist teams to establish organizational objectives.
  2. Data Cleaning: Ensuring the accuracy and integrity of the data through cleaning, filtering, and organizing processes.
  3. Data Analysis: Using statistical tools and software to analyse large datasets and identify trends, patterns, and correlations.
  4. Data Visualisation: Presenting findings in a visual format through graphs, charts, and dashboards to aid in understanding and decision-making.
  5. Reporting: Creating reports and presentations to communicate insights and recommendations to key stakeholders within the organisation.
  6. Forecasting: To analyse data and predict future patterns.
  7. Continuous Learning: Staying up-to-date with the latest tools, techniques, and trends in data analysis to enhance skills and knowledge.


Who Can Become a Data Analyst?

Individuals from a variety of backgrounds can pursue a career as a data analyst. Whether you have a degree in statistics, mathematics, computer science, economics, or a related field, as long as you possess the necessary analytical skills and technical proficiency, you can excel in this role.

Many software developers are transitioning to roles as data analysts due to their shared skills in programming languages, tools, and job success strategies. Obtaining a professional certification in data analysis can provide individuals with a competitive advantage and distinguish them from others.

Moreover, those with experience in data analysis or related fields will find it easier to transition into a data analyst position. However, even if you do not have prior experience in data analysis, with the right education and training, you can still pursue a career in this field.

How to Become a Data Analyst?

To become a data analyst, individuals typically need to have a strong background in mathematics, statistics, computer science, or a related field. Many data analysts hold a bachelor’s degree in areas such as mathematics, economics, computer science, or engineering. Some employers may also require a master’s degree or certification in data analysis.

There are also numerous online courses and certifications available for individuals looking to become data analysts. These courses cover topics such as data analysis techniques, statistical modeling, data visualisation, and more.

In addition to formal education, aspiring data analysts should also develop proficiency in programming languages such as Python, C++, SQL, PHP, JavaScript and data visualisation tools like Tableau or Power BI. They should also have strong analytical skills, attention to detail, and the ability to communicate complex information in a simple and understandable way.

Internships or entry-level positions in data analysis can provide valuable hands-on experience and help individuals build a strong foundation in the field. Networking with professionals in the industry can also open doors to job opportunities and mentorship.

Skills Required to Become a Data Analyst

key skill of financial risk management

Data analysts are highly analytical professionals who possess a unique blend of technical and soft skills. Some essential skills for a successful career as a data analyst include:

  • Strong Analytical Skills: Data analysts must possess strong analytical skills to interpret complex data sets and extract meaningful insights.
  • Technical Proficiency: Proficiency in statistical analysis tools such as R, Python, SQL, Java, Qlikview, and Excel is crucial to handle and analyse data effectively. Proficiency in data visualisation tools such as Tableau or Power BI. Also, expertise in data modeling and machine learning tools is essential.
  • Problem-Solving Abilities: Data analysts must have strong problem-solving skills to identify issues within the data and develop solutions to address them.
  • Attention to Detail: Being detail-oriented is crucial to ensure the accuracy and integrity of the data they work with.
  • Communication Skills: Data analysts must be able to effectively communicate their findings and insights to non-technical stakeholders clearly and concisely.
  • Education: A bachelor’s degree in fields such as statistics, mathematics, computer science, or economics is typically required for entry-level data analyst positions. Some roles may also require a master’s degree or professional certifications in data analysis.
  • Experience: While not always necessary, having previous experience in data analysis or related fields can be beneficial for advancing in a career as a data analyst.

Top Colleges for Data Analysts

India has approximately 160 colleges offering programs in Data Analytics, out of which approximately 81% are private, 11% government, and the remaining are public-private institutions.

Some of the prominent colleges in India offering Data Analytics courses are Indian Institute of Technology (IIT) Bangalore, IIM Kozhikode, IIM Amritsar, VIT Chennai, NMIMS School of Business – Mumbai, Institute of Management Study (IMS) – Kolkata, Goa Institute of Management (GIM), and Jaypee Business School (JBS) – Noida.

Entrance Exam for Data Analyst

To become a data analyst, a strong foundation in mathematics, statistics, and computer science is essential.

Many data analysts hold a bachelor’s degree in fields such as mathematics, statistics, economics, computer science, or related disciplines. Some employers may also require a master’s degree or certification in data analysis.

Data Analytics colleges in India have different entrance exams for admission acceptance. Entrance exams such as JEE Main, GATE, and CAT are commonly required for admission into Data Analytics programs.


Fees for Data Analyst Course

The fees for data analytics courses in India can vary depending on the college and program. On average, the fees for data analytics courses range from 1 to 5 lacs.

Candidates seeking to enrol in Data Analytics courses from Indian colleges are required to pass the entrance exam.

It’s important to research and compare different colleges and programs to find the best fit for your budget and career goals.

In addition, there are also online courses available, the fees of which varies between 50k to 1 lacs depending upon the platform and duration of the course.

Types of Data Analyst

The role of a Data Analyst is in high demand across industries, with different types focusing on specific areas of expertise. Some common types of Data Analysts include:

  1. Business Data Analyst: Focuses on analysing business data to identify trends, patterns, and insights that can help improve decision-making and business strategies. A business data analyst uses statistical methods, data mining processes, and various models to analyse data.
  2. Marketing Analyst: Analyses marketing data to evaluate campaign performance, customer behaviour, and market trends to optimise marketing strategies and drive business growth.
  3. Financial Analyst: Analysing financial data to provide insights for investment decisions, risk management, and financial planning.
  4. Operations Analyst: Analysing operational data to optimise processes, improve efficiency, and reduce costs within an organisation.
  5. Market Research Analyst: Analyses market data to provide insights into consumer preferences, trends, and competitive landscapes to support strategic decision-making. The role of a market research analyst is critical for a company to assess the potential sales of its products or services.
  6. Data Scientist: Uses advanced statistical and machine learning techniques to uncover patterns and insights in data, as well as develop predictive models to drive business decisions.

Each type of data analyst role requires a unique set of skills and expertise specific to that industry. However, the core skills required for all data analyst roles include technical proficiency, problem-solving abilities, attention to detail, and communication skills.


Employment Scope Career Options for Data Analyst

The employment scope for data analysts is vast, with opportunities available in a wide range of industries such as finance, healthcare, retail, technology, and more.

As businesses continue to generate large amounts of data, skilled data analysts are essential for interpreting this information and providing valuable insights to drive strategic decision-making.

Career options for data analysts are diverse and can include positions such as Data Analyst, Data Scientist, Market Research Analyst, Financial Analyst, Operations Analyst, Marketing Analyst, and more.

One way to advance in your career is to continuously enhance your skills and knowledge in data analysis techniques, tools, and technologies. This can be achieved through taking online courses, attending workshops, or pursuing certifications in areas such as data science, machine learning, or data visualisation.

Another way to advance your career as a data analyst is to gain experience in different industries or sectors. By working in diverse environments, you can broaden your skillset and gain valuable insights that can be applied to various data analysis roles.

Networking with professionals in the field and staying up-to-date on industry trends and advancements is also essential for career growth as a data analyst. Building strong relationships with colleagues, mentors, and industry experts can provide valuable opportunities for career advancement, such as job referrals, mentorship, and collaboration on projects.

Some of the top companies hiring data analysts in India are :

  • TCS,
  • Accenture,
  • Convergytics,
  • Genpact,
  • Capgemini India Pvt Ltd,
  • Google,
  • Wipro, etc.


Career Scope for Data Analyst in Govt & PSU Sector

Data analysts are in high demand in the private sector, government agencies, and public sector undertakings (PSUs). They play a crucial role in helping government organisations and PSUs make data-driven decisions to improve efficiency, transparency, and accountability.

In the government sector, data analysts work with various departments such as health, education, finance, and more to analyse data and provide insights for policy-making and decision-making. They help to identify trends, patterns, and opportunities for improvement within the organisation.

PSUs also rely on data analysts to make strategic decisions based on data analysis. Whether it’s in the energy sector, transportation sector, or any other industry, data analysts help PSUs optimise their operations and deliver better services to the public.

Salary Range

The salary range for data analysts varies based on factors such as experience, location, and industry.

On average, entry-level data analysts can expect to earn around 3 to 6 lacs per year. With more experience and expertise, senior data analysts can earn up to 15 lacs per annum.


Data analysts play a vital role in today’s data-driven world, helping organisations make informed decisions and drive business growth. With the right education, skills, and determination, you can embark on a rewarding career path that allows you to make a tangible impact in the world of data analysis.

Start by researching top colleges and programs, preparing for entrance exams, and gaining practical experience through internships or projects.

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