Data analyst vs data scientist vs data engineer vs data manager— which one to choose; this is the most common question asked by aspiring technology professionals looking for a career upgrade. You too must have come across these designations when people talk about different job roles in the growing data science landscape. Though they all deal with data, these job roles are not the same. Undoubtedly, there are differences between what a data scientist, data analyst, data engineer, and data manager does. But, what exactly is the job role of people in these designations? Let’s find out!

Data Analyst vs Data Scientist vs Data Engineer vs Data Manager – Who Are They?

To begin with, a data scientist analyzes, interprets, and organizes complex data, and on the other hand, a data engineer develops, constructs, tests, and maintains the complete architecture. A data analyst analyzes data and uses it to assist companies in making informed decisions, whereas a data manager’s job is to manage an organization’s data systems and networks. 

Let’s dig deep into each of these different titles, and find out their job roles, the skills they need to become successful, the salary they earn per annum, and their job availability in India.

Data Scientist 

A data scientist is a professional who applies his/her expertise in statistics and creating machine learning models to make predictions and answer key business questions. Data scientists build data modeling processes, create algorithms and predictive models to extract the data that business requires, and then analyze that data and share valuable insights with peers. 

Job Role: Data Scientists are responsible for cleaning, analyzing, and visualizing data. Also, they work in close liaison with stakeholders to understand their business goals and learn how data can be utilized to accomplish those goals. 

Skills Required: In order to become a successful data scientist, you must have good knowledge of statistical & analytical skills, data mining, machine learning & deep learning algorithms, in-depth programming skills (SAS/R/ Python coding), Hadoop-based analytics, data optimization, and decision making and soft skills.  

Salary: The average data scientist salary in India is ₹607,193 per annum. The salary differs based on the experience of the candidate. Refer to the table below to understand the annual pay scale of data scientists based on their years of experience.

Entry-levelMid-levelExperienced level
₹4,77,000₹7, 23,000₹1,380,000

Job Availability: According to a recent survey by The Hindu, close to 97,000 data scientist jobs are vacant in India. The rise of data science companies has contributed to an upsurge of 45% in the total data scientist jobs last year. This staggering figure demonstrates the availability of data scientist jobs in India.

Data Analyst 

Every organization from healthcare providers to manufacturers to retail stores can benefit from the work of data analysts. The insights that data analysts provide are vital to companies that want to understand the needs of their end customers. 

Job Role: The responsibility of a data analyst is to collect and store data on market research, sales numbers, or other behaviors. The tasks performed by a data analyst include cleaning data, performing analysis, and creating data visualizations. With his/her technical expertise, a data analyst ensures the quality and accuracy of that data, then processes, designs, and presents it to help people, businesses, and organizations to make strategic decisions.

Skills Required: A data analyst is required to have excellent skills in data warehousing, Adobe & Google analytics, programming knowledge, scripting & statistical skills, reporting & data visualization, SQL/database knowledge, and spreadsheet knowledge. 

Salary: Somebody who has expertise in the above mentioned skills can quickly get data analyst jobs with an average data analyst salary of ₹5,16,014 per annum. Based on their experience, the yearly salary of data analyst differs. Let’s find out!

Entry-levelMid-levelExperienced level
₹314,817₹617,807₹907,571

Job Availability: There are about 78,000 data analyst jobs available in India. Companies like Microsoft, JPMorgan, Adobe, Flipkart, Wipro, AIG, Accenture, Ernst & Young, Deloitte, and Vodafone had the highest number of openings for data analyst jobs last year. In India, Bangalore is home to 27% of data analyst jobs, closely followed by Mumbai and Delhi/ NCR.

Data Engineer 

Every organization ensures that its data is precise and accessible to individuals who need to work with it. 

Job Role: A data engineer builds and optimizes the systems that enable data scientists and data analysts to perform their job. The role of a data engineer is to make sure that every data is appropriately collected, stored, transformed, and made available to other users.

Skills Required: Data engineers need to have a solid command of several scripting languages and tools to improve data quality and quantity by leveraging and improving data analytics systems. A data engineer’s primary skillset involves data warehousing & ETL, advanced programming knowledge, Hadoop-based analytics, in-depth knowledge of SQL/database, data architecture & pipelining, machine learning concept knowledge, and scripting, reporting & data visualization. 

Salary: With an understanding of the required skills, a competent professional can make an average data engineer salary of ₹8,47,129 in India. Below is the pay by experience level for data engineers.

Entry-levelMid-levelExperienced level
₹400,676₹1,218,983₹1,579,282

Job Availability: Data engineer jobs are offered by companies like Amazon, Tata Consultancy Services, and General Electric. Cities like Gurgaon, Hyderabad, Bangalore, Mumbai, New Delhi, and Chennai have plenty of data engineer jobs to offer. 

Data Manager 

Any organization that generates heaps of data can hire a data manager. The main job of data managers is to supervise a company’s different data systems in addition to organizing, storing, and analyzing data efficiently. Job Role: Data managers analyze the data requirements of their organizations and apply their coding skills to preserve secure databases, collecting and organizing the data obtained. Using analytics and several coding programs, a data manager analyzes the information and draws conclusions based on his/her findings. 

In collaboration with the management, a data manager determines the best methods to collect the information needed. Paying attention to details, along with the ability to understand abstract concepts is vital to succeeding in this role. 

Skills Required: A data manager needs to be good in mathematics, have great IT skills and knowledge in query languages, have good analytical and project management skills, have excellent communication skills, and be able to explain technical issues to non-technical individuals. 

Salary: The average data manager salary is ₹10,67,800 in India. Let’s find out the pay by experience level for data managers!

Entry-levelMid-levelExperienced level
₹200,000₹867,535₹1,400,000

Job Availability: Companies like KPMG India, Philips, Accenture, Genpact, and JP Morgan offer data manager jobs in India. Cities like Bangalore, Mumbai, Chennai, Pune, and Hyderabad have more openings for data manager jobs. 

Data Scientist vs Data Analyst vs Data Engineer vs Data Manager

An analogy can be drawn between the job roles of a data scientist, data analyst, data engineer, and a data manager—they all deal with data. In a nutshell, a data scientist analyzes and interprets complex data while a data analyst analyzes numeric data and utilizes it to help companies make informed decisions. On the other hand, a data engineer takes part in preparing data by developing, constructing, testing, and maintaining the complete architecture and a data manager supervises a company’s diverse data systems and networks.

Although the job roles, Data Analyst vs Data Scientist vs Data Engineer vs Data Manager, are interrelated, a data scientist has the upper hand on all the data related activities. When it comes to decision making in the business, data scientists have higher proficiency.

Choose a Data-Driven Career Path with Springboard

There are many options when it comes to making a career in the data field. Individuals with a knack for analytical thinking who can communicate with others and excel in numbers, records, and raw data, can succeed in this domain. Pursuing a career in a data-related field is a smart move, not just because it is gaining popularity and pays well, but because data might be the critical point on which the entire economy depends. 

If you are looking for an exciting career, now is the right time to up-skill and take advantage of the career opportunities that come your way. Time to make a career transition to become a data scientist, data analyst, data engineer, or data manager with Springboard India’s online learning programs that comes with 1:1 mentoring, project-based curriculum and career coaching.