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Top 10 Data Analytics Companies in India

Data analytics companies in India are experiencing rapid growth due to the country’s large pool of skilled professionals, lower operational costs, and a supportive business environment. Many Indian data analytics companies are developing cutting-edge technologies such as artificial intelligence, machine learning, and blockchain to help businesses make data-driven decisions. 

List of best data analytics companies in India

What is Data Analytics?

Data analytics examines and interprets large data sets to uncover patterns, trends, and insights that can inform business decisions. It involves applying statistical and computational methods to large, complex data sets to extract meaningful insights that can help organizations make informed decisions.

Data analytics includes several techniques, such as data mining, predictive analytics, and machine learning. Data analytics aims to help organizations make data-driven decisions by identifying patterns, relationships, and trends within their data.

Data analytics is used across various industries to improve operations, increase efficiency, and drive business growth, including healthcare, finance, marketing, and manufacturing.

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What Does The Data Analytics Company Do?

Data analytics companies provide services that help organizations make sense of the vast amounts of data they generate and collect. These services include

  1. Data Management: Data analytics companies help organizations store, manage, and organize their data to make it accessible and usable.
  2. Data Analysis: These companies use statistical and computational techniques to analyze large datasets and identify patterns, trends, and insights that can help businesses make informed decisions.
  3. Business Intelligence: Data analytics companies use data to provide insights and intelligence that help organizations better understand their operations and improve decision-making.
  4. Predictive Analytics: These companies use statistical and machine learning techniques to forecast future trends and outcomes based on historical data.
  5. Data Visualization: Data analytics companies create visual representations of data that make it easier for organizations to understand and interpret their data.
  6. Machine Learning and AI: Data analytics companies use machine learning and artificial intelligence to automate and optimize various business processes.

 

Data Analytics Industry in India

This industry is experiencing significant growth and is expected to continue expanding in the coming years. The industry has been fueled by India’s large pool of skilled IT professionals, lower operating costs, and a supportive business environment.

India’s data analytics industry provides domestic and international clients services, including data management, business intelligence, predictive analytics, and machine learning. The industry is also developing cutting-edge technologies, including artificial intelligence, blockchain, and cloud computing, to help businesses manage and analyze large amounts of data.

The Indian government also supports the industry’s growth through initiatives such as the National Data and Analytics Platform and the National AI Portal.

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History of the Data Analytics Industry in India

The data analytics industry in India started in the 1990s when India’s software industry began to gain prominence in the global market. At that time, many Indian IT companies started offering international clients data management and business intelligence services.

However, in the early 2000s, India’s data analytics industry started gaining momentum. Adopting new technologies such as big data, cloud computing, and artificial intelligence has played a significant role in India’s growth of the data analytics industry. With the increasing amount of data businesses generate, India’s demand for data analytics services has surged in recent years.

The Indian government has also been actively promoting the growth of the data analytics industry through initiatives such as the National Data and Analytics Platform and the National AI Portal. These initiatives aim to encourage the development and use of advanced data analytics technologies in India.

Today, India’s data analytics industry is a crucial player in the global market, with many Indian companies providing high-quality data analytics services to clients worldwide.

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Growth Trends in the Data Analytics Industry in India

The industry has been experiencing significant growth in recent years, which is expected to continue in the coming years. Here are some of the growth trends in the data analytics industry in India:

1. Increasing Demand for Data Analytics Services: The adoption of new technologies such as big data, artificial intelligence, and machine learning has led to a surge in demand for data analytics services in India. Businesses that drive this demand need to gain insights from their data to improve operations, increase efficiency, and drive growth.

2. Rising Investments in Data Analytics: Indian companies and startups are increasingly investing in data analytics to improve their products and services, optimize their operations, and better understand their customers. Venture capitalists and private equity firms also invest in Indian data analytics companies, fueling the industry’s growth.

3. The emergence of Startups: India has seen the emergence of several startups in the data analytics space. These startups are leveraging new technologies and innovative business models to offer data analytics services to businesses of all sizes.

4. Growing Adoption of Cloud-Based Analytics: Cloud-based analytics is gaining popularity in India, as it offers several benefits, including scalability, flexibility, and cost-effectiveness.

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Current Requirements of the Data Analytics Industry in India

There are diverse requirements, ranging from technical skills to domain knowledge. Here are some of the current needs in the data analytics industry in India:

1. Technical Skills: Data analytics companies in India are looking for professionals skilled in the latest data analytics technologies, such as big data, artificial intelligence, machine learning, and data visualization. Proficiency in programming languages such as Python, R, and SQL is also essential.

2. Domain Knowledge: Data analytics companies require professionals who have expertise in specific domains such as healthcare, finance, retail, and marketing. This knowledge helps them understand the data generated in those domains and apply data analytics techniques to gain insights.

3. Communication Skills: Effective communication is critical in the data analytics industry. Professionals need to be able to communicate their findings and insights to clients and other stakeholders effectively.

4. Data Management: Data analytics companies require professionals who are skilled in managing data. This includes data extraction, cleaning, transformation, and storage.

5. Problem-Solving: The ability to identify problems and find solutions using data analytics techniques is essential in the data analytics industry.

6. Business Acumen: Data analytics professionals need to understand the business environment in which they operate. They should be able to apply data analytics techniques to solve business problems and drive growth.

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Top 10 Data Analytics Companies in India

 

1. Accenture Analytics

Accenture Analytics is a subsidiary of Accenture, a global professional services company that provides a range of services, including consulting, digital, technology, and operations. Accenture Analytics specializes in providing data analytics services to clients across various industries.

Accenture has over 537,000 employees worldwide, but the exact number of employees in Accenture Analytics is not publicly available. Accenture Analytics serves many clients, including Fortune 500 companies and government organizations.

Regarding data analyst roles and salaries, Accenture Analytics offers several roles related to data analytics, such as data scientist, data engineer, business analyst, and data visualization specialist.

The salaries for these roles vary based on experience and location. According to Glassdoor, the average salary for a data analyst at Accenture Analytics in India is around ₹7,50,000 per year.

 

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2. TCS

Tata Consultancy Services (TCS) is a multinational IT services, consulting, and business solutions company based in India. The company provides various services, including application development, software engineering, infrastructure management, and digital transformation.

TCS has over 500,000 employees in over 50 countries, serving clients across various industries, including banking, healthcare, retail, and manufacturing. TCS has more than 1,000 active clients, including Fortune 500 companies.

Regarding data analyst roles and salaries, TCS offers several roles related to data analytics, such as data scientist, data analyst, data engineer, and data visualization specialist.

The salaries for these roles vary based on experience and location. According to Glassdoor, the average salary for a data analyst at TCS in India is around ₹5,50,000 per year, but this can vary depending on the role, level of experience, and location.

 

3. Gramener

Gramener is a data analytics and visualization company based in India that helps organizations make data-driven decisions. The company offers various data-related services such as data visualization, data storytelling, data engineering, machine learning, and artificial intelligence.

Gramener has over 300 employees and serves clients across multiple industries, including BFSI, retail, healthcare, and telecom. The company has worked with several prominent clients, including Pepsico, Nestle, and the World Economic Forum.

In terms of data analyst roles and salaries, Gramener offers several roles related to data analytics, such as data analyst, data scientist, and data engineer.

The salaries for these roles vary based on experience and location. According to Glassdoor, the average salary for a data analyst at Gramener in India is around ₹7,50,000 per year, but this can vary depending on the role, level of experience, and location.

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4. Genpact

Genpact is a global professional services firm that provides various services, including digital transformation, process excellence, and data analytics. The company helps clients across multiple industries to transform their operations and gain competitive advantages by leveraging data and technology.

Genpact has over 90,000 employees in more than 30 countries and serves clients across various industries, including banking, healthcare, and manufacturing. Regarding data analyst roles and salaries, Genpact offers several roles related to data analytics, such as data scientist, data analyst, and data visualization specialist.

The salaries for these roles vary based on experience and location. According to Glassdoor, the average salary for a data analyst at Genpact in India is around ₹5,50,000 per year, but this can vary depending on the role, level of experience, and location.

 

5. Tiger Analytics

Tiger Analytics is a boutique data analytics and consulting company based in the United States, with offices in India and Singapore. The company helps clients across various industries to make data-driven decisions by providing services such as data engineering, data science, machine learning, and artificial intelligence.

Tiger Analytics has around 500 employees and serves clients across multiple industries, including healthcare, retail, and e-commerce. The company has worked with several prominent clients, including Microsoft, Uber, and PayPal. Regarding data analyst roles and salaries, Tiger Analytics offers several roles related to data analytics, such as data scientist, data analyst, and data engineer.

The salaries for these roles vary based on experience and location. According to Glassdoor, the average salary for a data analyst at Tiger Analytics in India is around ₹9,50,000 per year, but this can vary depending on the role, level of experience, and location.

 

6. Mu Sigma Analytics

Mu Sigma is a data analytics and consulting company based in the United States, with offices in India and other countries. The company provides services such as data engineering, data science, decision sciences, and digital solutions to help clients across various industries make data-driven decisions.

 

Mu Sigma has over 4,000 employees and serves clients across various industries, including healthcare, finance, and retail. The company has worked with several prominent clients, including Walmart, Microsoft, and Amazon. Regarding data analyst roles and salaries, Mu Sigma offers several roles related to data analytics, such as data scientist, data analyst, and decision scientist.

The salaries for these roles vary based on experience and location. According to Glassdoor, the average salary for a data analyst at Mu Sigma in India is around ₹8,00,000 per year, but this can vary depending on the role, level of experience, and location.

 

7. Fractal Analysis

Fractal Analytics is a data analytics and consulting company based in India, with offices in the United States, the UK, and Singapore. The company provides services such as data engineering, data science, artificial intelligence, and customer insights to help clients across various industries make data-driven decisions.

Fractal Analytics has over 2,500 employees and serves clients across various industries, including healthcare, finance, and e-commerce. The company has worked with several prominent clients, including Microsoft, Procter & Gamble, and Novartis. Regarding data analyst roles and salaries, Fractal Analytics offers several roles related to data analytics, such as data scientist, data analyst, and artificial intelligence engineer.

The salaries for these roles vary based on experience and location. According to Glassdoor, the average salary for a data analyst at Fractal Analytics in India is around ₹10,00,000 per year, but this can vary depending on the role, level of experience, and location.

 

8. ZenDrive

ZenDrive is a data analytics company that uses sensors and machine learning to improve road safety. The company provides fleet safety solutions for businesses, using data analytics to monitor driver behavior and provide insights to reduce accidents and improve driver performance.

ZenDrive has over 100 employees and serves over 150 customers in various industries, including transportation, logistics, and delivery services. The company has worked with several prominent clients, including Uber, Lyft, and Zomato. Regarding data analyst roles and salaries, ZenDrive offers several roles related to data analytics, such as data scientist, data analyst, and machine learning engineer.

The salaries for these roles vary based on experience and location. According to Glassdoor, the average salary for a data analyst at ZenDrive in India is around ₹7,50,000 per year, but this can vary depending on the role, level of experience, and location.

 

9. Latent View Analytics

LatentView Analytics is a global data analytics and digital solutions provider that helps businesses gain insights from data to make better decisions. The company provides various services, including data engineering, data science, digital analytics, and decision science.

LatentView Analytics has over 700 employees and serves over 350 clients across various industries, including retail, e-commerce, financial services, and healthcare. The company has worked with several well-known brands, including Coca-Cola, Microsoft, and Google.

Regarding data analyst roles and salaries, LatentView Analytics offers several opportunities related to data analytics, such as data scientists, data analysts, and business analysts.

The salaries for these roles depend on several factors, including the level of experience, skill set, and location. According to Glassdoor, the average salary for a data analyst at LatentView Analytics in India is around ₹8,00,000 per year, but this can vary based on the role and level of experience.

 

10. AbsoluteData

AbsoluteData is a data analytics and digital marketing company that provides end-to-end solutions to businesses. The company offers services such as data management, data analytics, and digital marketing, leveraging cutting-edge technologies such as artificial intelligence, machine learning, and natural language processing.

AbsoluteData has over 600 employees and serves over 100 clients, including Fortune 500 companies, across various industries such as retail, healthcare, financial services, and technology. The company has offices in the United States, the United Kingdom, and India and has received several awards for its work in data analytics and digital marketing.

AbsoluteData offers several roles related to data analytics, such as data analyst, data scientist, and business analyst. According to Glassdoor, the average salary for a data analyst at AbsoluteData in India is around ₹6,00,000 per year, but this can vary based on the role and level of experience.

 

FAQs

1. What are the common job profiles in Data analytics companies in India?

Data analytics companies in India offer a range of job profiles depending on their business requirements and the employees’ skills. Some of the common job profiles in data analytics companies in India are

  1. Data Analyst: Data analysts collect, process, and perform statistical analyses on large datasets to derive insights and inform business decisions.
  2. Data Scientist: Data scientists use advanced statistical and machine learning techniques to analyze data and build predictive models to solve complex business problems.
  3. Business Analyst: Business analysts work with stakeholders to identify business requirements, analyze data, and provide recommendations to improve business processes and performance.
  4. Data Engineer: Data engineers build and maintain the infrastructure required to process, store, and analyze large datasets.
  5. Machine Learning Engineer: Machine learning engineers develop algorithms and build models to analyze and make predictions on large datasets.
  6. Data Visualization Expert: Data visualization experts create visualizations and dashboards to communicate insights and findings to stakeholders.
  7. Data Architect: Data architects design and maintain the database systems and infrastructure required to store and manage large datasets.

These are some of the common job profiles in data analytics companies in India. However, there may be other job roles that are specific to each company.

2. What kind of job opportunities are available at data analytics companies in India?

Data analytics companies in India offer a range of job opportunities across different levels of expertise and experience. Some of the job opportunities available at data analytics companies in India include

  1. Entry-level Analyst: These roles are typically suitable for recent graduates or candidates with some experience in data analytics. They involve tasks such as data cleaning, preparation, and basic analysis.
  2. Data Analyst: These roles require more experience and involve tasks such as data exploration, statistical analysis, data modeling, and data visualization.
  3. Data Scientist: These roles require advanced statistics, machine learning, and data analysis skills. They involve developing predictive models, building algorithms, and exploring complex datasets.
  4. Data Engineer: These roles require data architecture, database design, and data management expertise. They involve building and maintaining data pipelines, integrating systems, and designing data infrastructure.
  5. Business Analyst: These roles require business operations, financial analysis, and strategic planning knowledge. They involve identifying business requirements, analyzing market trends, and recommending business decisions.
  6. Machine Learning Engineer: These roles require machine learning algorithms, data modeling, and programming expertise. They involve designing and implementing machine learning models, analyzing large datasets, and developing software systems.
  7. Data Visualization Expert: These roles require expertise in data visualization tools and techniques, along with solid design skills. They involve creating interactive visualizations, building dashboards, and communicating insights to stakeholders.

These are just a few examples of the job opportunities available at data analytics companies in India. The specific job roles and requirements may vary depending on the company and the industry.

3. What skills do I need to work in data analytics companies in India?

Working in data analytics companies in India requires various skills across different areas of expertise. Some key skills in demand in the data analytics industry in India include:

  1. Analytical skills: This is the most fundamental skill required for working in data analytics. You should be able to analyze and interpret large datasets, find patterns and trends, and make data-driven decisions.
  2. Programming skills: A strong foundation in programming languages such as Python, R, Java, or SQL is essential for working with large datasets and developing analytical models.
  3. Statistical skills: A strong understanding of statistical concepts such as probability, regression analysis, and hypothesis testing is required for conducting data analysis and creating predictive models.
  4. Data visualization skills: The ability to communicate complex data insights intuitively is vital in data analytics. You should be skilled in using visualization tools such as Tableau, Power BI, or QlikView to create charts, graphs, and dashboards.
  5. Domain expertise: Depending on the industry, you may need domain expertise in a particular field, such as healthcare, finance, or marketing, to understand the data and draw meaningful insights.
  6. Communication skills: Good communication skills are essential for working in data analytics, as you will need to explain complex data insights to non-technical stakeholders.
  7. Teamwork and collaboration: Working in data analytics involves working in a team and collaborating with other analysts, data scientists, and stakeholders to achieve the desired outcomes.

These are some of the key skills that are required to work in data analytics companies in India. However, the specific skills required may vary depending on the job role and the industry.

Conclusion

The data analytics industry in India has experienced tremendous growth in recent years, with many top companies establishing their presence in the country. These data analytics companies in India offer diverse job opportunities in various domains, including finance, healthcare, e-commerce, and more. As the demand for data-driven decision-making increases, so does the need for skilled data analysts, scientists, and engineers.

The job profiles and salaries offered by these data analytics companies in India are highly competitive, making data analytics a promising career choice for aspiring professionals in India. With the right set of skills and experience, individuals can leverage the opportunities provided by these companies to build successful and rewarding careers in the data analytics field.

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