The Complete Data Analyst Handbook: From Job Description to Career Growth

Are you considering taking up Data Analysis as your career but unsure if it’s the right path or not? you are not alone. Data Analysis has become one of the most in-demand skills in the IT job market, with companies providing good remuneration and competitive packages to attract top talents. It’s one of the most sought-after career options and therefore many freshers, and graduates are eyeing this field. But let’s face the reality,  choosing a career with a good pay scale is not the only goal instead it is also about finding the right kind of work for which you are passionate.  Here we will delve deeper into the field of Data Analytics and how it is one of the top career paths, giving you insights to help you choose the right path.

Who is a Data Analyst?

A professional who collects, processes, and interprets the data to help organizations make insightful decisions is a Data analyst. They use tools and techniques to identify trends and patterns to give insights.

As a data analyst, you might tackle questions like Who should the next ad campaign target? Which age group is most at risk for a disease? What behaviors point to financial fraud?

Read below to delve deep into what a Data Analyst does.

So, what is Data Analysis?

Data Analysis is about the extraction of information from data to help businesses make decisions. Below are the steps involved.

1. Identification of Data
2. Collecting Data
3. Cleaning and Analysing
4. Interpret the data

Role of a Data Analyst

There are varied forms of data Analysis depending on the questions you are answering. Diagnostic data analysis explains why it has happened, Descriptive Analysis tells what has happened, predictive analysis forecasts future results, and prescriptive analysis gives suggestions on what actions should be taken.

So there are various roles and responsibilities a Data analyst has to do depending on the type of work one gets.

Data Analysis Anatomy

• Hunting Data: A data Analyst collects data like a treasure hunt but instead of gold they dig for data by conducting surveys, buying data sets from data collection, visiting websites, or collecting data on his own.
• Clean Data: A data Analyst also cleans the data as the Raw data might have errors, duplicity, or outliers. By cleaning data
• Analysing Data: A data Analyst keeps staring at numbers till they get fruitful results. They create and design the structure of the database
• Interpreting: Finding trends and patterns in the data till you get the answer to your question 

So, what is typically a data analyst career path?

Learning the Core Skills:

If you are a beginner in the field of Data Analysis, your career path starts with learning the necessary skills. To enter this field one has to get a good grip on the entire data analysis process i.e. from collecting and analysing the raw data to visualizing and presenting insights to help make informed decisions.

One needs to develop SQL skills, learn the basics of Python and adapt the key concepts such as data mining and ethics , along with these ones has to be familiar with popular tools like Tableau and Excel. To take the first step and to learn the complete course on Data Analytics click here.

After acquiring the necessary skills , one can think of applying for a job in the Data world. The process of Data Analytics Learning requires a good amount of time and commitment especially if you are a beginner. For a guided approach to learn Data Analytics , consider choosing the right institute providing you a good detailed course on Data Analytics.

Data Analyst’s Toolkit

1. Microsoft Excel
2. SQL
3. Python
4. R
5. Tableau/Power BI
6. Google Analytics 

Types of Data Analysts

The rapid advancement of technology has led to a huge amount of data everywhere. Every industry has started working towards collecting more data, organizing and analyzing the data to make informed decisions that will help them grow, hence the rising demand for analysts who have landed jobs in every sector like criminal justice, fashion, food, tech business, environment, and public sector. Below are to name a few.

1. Business Analyst
2. Operational Analyst
3. Financial Analyst
4. Marketing Analyst
5. Healthcare Analyst

How to Be a Data Analyst

To be a Data Analyst, there is no single path. Whether you are a fresher or someone who is looking for a change in career. Start with identifying and developing the skills that are required for a data analyst role. There are several data science training institutes in Hyderabad. Some of them provide excellent courses with real-world, hands-on experience. Data Analytics for Freshers course is meticulously designed to train students with several data analytics projects which can help you stand out to get easily hired.

Technical Skills required for a Data Analyst:

1. Database Tools: SQL and Microsoft Excel are very important for a Data Analyst. Excel is prominently used and SQL is important for driving larger datasets and is an important  skill for a data Analyst to have
2. Programming Languages: one must Learn languages like Python or R to handle large datasets and analyse complex data sets. Always go through the job descriptions to see which language is most relevant depending on the industry.
3. Data Visualization: Another skill is the presentation of your findings, tools like Tableau, Jupyter Notebook, and Excel help turn data into visual stories that businesses can understand.
4. Statistics and Math: A Strong foundation in Maths and Statistics is a must as it will help you choose the right tools, identify errors, and interpret better results.

If these skills seem daunting for you, don’t worry – the market is full of various courses to guide you to the basics of these essential data analytical skills.

Various Combination of Skills  a Data Analyst require

The data analytics syllabus for freshers includes a detailed curriculum that can help them learn to handle data. Let’s delve deeper into what skills are required to be a good data analyst. 

• To Solve real-time problems, we need to know the domain and basic understanding of the business.
• Good knowledge of maths, Statistics, and machine learning to analyse data and get useful results
• Data Analysts should have good visualization skills and be storytellers presenting their findings.
• Computer Science and Software engineering are important for working efficiently with data.

Which Companies Hire Data Analytics

The growth of the Internet has led to a huge rise in the amount of data people produce. Companies are now using this data more and more. Industries like healthcare, manufacturing, retail, and finance are starting to realize how important it is to base their business operations on data. As more decisions rely on information from this data, the need for data analytics is growing. India has always been a key market for data science and analytics products. The enrolment for the data Analytics course is rising due to its high demand in the job market. Here is a list of companies that release vacancies for  Data Analytics jobs in Hyderabad.

• Accenture
• Tech Mahindra
• Gen pact
• Capgemini India Pvt Limited
• Tiger Analytics
• Latent View Analytics
• HData Systems
• TCS
• Crayon Data
• Convergytics
• Ai
• Data Factz 

Salary Brackets of a Data Analyst

A Data analyst with 1-4 years of experience earns Rs. 396128, while a mid-level Data Analyst with 5-9 years of experience can earn up to Rs. 6,03,120, depending on the type of Organization and location. With 10-15 years of experience, one can earn up to Rs. 9,00,000.

About 80% of the entry-level data analyst professionals are under the salary range of 0-6 lakhs but with the rapidly increasing demand for freshers in Data Analysis in India, there is a clear indication of excellent opportunities with good pay scale ahead. Various factors affect the Data Analytic Salary range in India like skill, experience, location, and company.

The salaries of Data Analysts with experience of 4-6 years are stable at  8.7 Lakhs. The Senior Data Analysts having good experience of 10-12 years witnessed a sharp 20% rise in their salaries last year.

So how much does a data analyst earn in India?

Based on Payscale, here’s a breakdown of the average Data Analytics salary at different levels of their careers:

1. Entry-Level (0-1 year of experience): ₹402,820
2. Early Career (1-4 years of experience): ₹494,209
3. Mid-Career (5-9 years of experience): ₹775,162
4. Late Career (10-19 years of experience): ₹1,063,150
5. (Experienced20 years and higher): ₹1,500,000

These figures include various elements like tips, bonuses, and overtime pay.

Businesses worldwide are realizing the importance of analytics in understanding and influencing decisions and market trends. Hence there is an increased investment in data analytics technology, personnel, and processes, and therefore data analytics is not limited to Finance and IT only these days and is being adopted by various other departments. The U.S. Bureau of Labor Statistics forecasts a significant increase in demand for data analysts, with a growth rate of 19% from 2014 to 2024. This growth is driven by the multiplying increase in data generation and the need to analyze and extract valuable information from it.

Data Analyst Salary in India Experience Wise

Data Analyst Salary in India Industry-Wise

So, the next question that arises is: what are all the factors affecting data analyst salaries in India? 

Major Takeaways

If you are the one who loves numbers and is thrilled to interact with data, then this is the perfect line of work you can choose. A Data Analytic Course or Data Analytic Training will help you land an ideal job. There are various Data Analytics courses available in Hyderabad. With the necessary skills to earn a high-paying job, one should upskill oneself to meet the market demands regularly.