Data Science

Business analyst Vs Data engineer

June 2, 2022, Learn eTutorial

As we all know data science has a great demand in the coming years. Data science is a very vast topic that also consists of many small and very well-defined topics. There are many job roles that come under data science. In this module let us mainly discuss the role of a business analyst as well as a data engineer. 

Who is a business analyst?

A business analyst will first identify the area of a business that needs improvement in order to strengthen the business processes. They will also cooperate with their teammates by sharing their ideas as well as their findings. The business of a particular company is improved by a business analyst by analyzing the business processes, and services that are provided by the company and also by analyzing data and products to provide better services. They also opt for a disciplined approach while introducing or when they try to make changes in the business process for better results.

Business trends will change over time so these changes are continuously analyzed by a business analyst. They mainly focus on the goal of a company by identifying the past, as well as current business and proper steps, that are taken to achieve the business goals.

Role of a business analyst

  1. Detailed understanding of a business 

    Understanding the business is an important role of a business analyst. A business analyst will first understand the business of a particular company with the past as well as current business. By comparing and analysing the past and current business they will get a clear idea about how does the business works.

  2. Determine  the improvements  taken for existing business

    As we all know business trends are changing day by day so it is very necessary to analyse the changes and take further steps to improve the business. The business analyst should clearly determine what all improvements can be done to the existing business process to achieve the business goals.

  3. Determining  the  task as well as steps for improvement

    If the business analyst got a clear idea about the business and how to improve the business then the next role is to determine the task and steps for the improvements. Here they will determine what are their requirements in order to improve the existing business process.

  4. The functional specification is created

    The business analyst will mainly design the features which is required for the IT system to improve the existing business process. To make changes they will create functional specification and it is also one of the main role of a business analyst.

  5. Implementation 

    Business analyst will also determine how to implement all the findings in order to improve the existing business. They will also determine the technical design which is needed for a business to improve and for goal achievement.

What does a data analyst do?

Who is a data engineer?

Basically, a data engineer is an IT worker who will prepare the data for analytical as well as operational uses. In order to gather information from different sources, data engineers will be building data pipelines. Data engineers always work with data scientists as well as with business analysts. The raw data is converted into a useable format and given to the data scientist by a data engineer. The data which is gathered from different sources are given to the business analyst by a data engineer for proper analysis.

A data engineer mainly builds data pipelines in order to gather data from different sources. They will help a data scientist in integrating, consolidating, and cleaning data that is gathered from different sources.

A data engineer deals with both structured as well unstructured data. Structured data consists of information that is well organized. Where unstructured data consist of text, images, audio, and video files. The main duties of a data engineer are developing software, and building as well as maintaining data pipelines. They will also maintain databases. Hadoop, NoSQL databases, and Spark are the main tools used by a data engineer.

Role of a data engineer  

  1. Act as generalists               

    Data engineers are the ones who works with data analyst, data scientist as well as with small teams in order to collect data . After data collection they will also helps to process the data. Even though they have many skills their knowledge in system architecture is very poor. A data engineer is always a helping hand for a data scientist as well as for data analyst.

  2. Act as pipeline centric  engineers 

    Here the data engineers mainly works with data analyst team who works with mid size data. They also help the data analyst with more complicated data science projects. These kind of data science engineers are mainly seen in mid size as well as with in the large companies.

  3. Act as database-centric engineers 

    The data engineers who act as database-centric engineers will implement the analytics database, maintain the analytics database as well as they will also populate the analytics database. This kind of data engineer is seen in large companies where their data has been distributed across several databases.

Responsibilities of a business analyst and data engineer

Business analyst Data engineer
  • Analysing future business requirements.
  • Analyzing various business possibilities
  • Tracking the requirements
  • Detailing of project
  • Team building
  • Documentation
  • They will build data pipelines as well as warehouses
  • Scalability of data products are managed.
  • Develops, constructs and Maintains the architecture
  • Process raw data
  • Monitor and maintain systems
  • Prepare data for analysing

Qualification Need

Business analyst Data engineer
  • Bachelor’s degree in IT/CS
  • Bachelor’s or masters in IT/CS
  • Practical experience with Microsoft 
  • Bachelor’s degree in computer science, math, statistics, and information systems.
  • Bachelor’s degree in business/ IT
  • Master's degree • 2 to 5 years of experience

Skills Needed

Business analyst Data engineer
  • Communication
  • Problem-solving
  • Critical thinking
  • Analyzing techniques
  • Data modeling techniques
  • Decision-making abilities
  • Knowledge in Databases
  • Communication skills
  • Programming
  • Knowledge in Bigdata and cloud

Tech Skills

Business analyst Data engineer
  • R
  • SAS
  • SPSS
  • Data mining
  • SQL
  • Python
  • Cloud
  • Distributed computing


Business analyst Data engineer
India Rs 7,60,000 per year(appox) India Rs 9,50,000 per year(appox)