Difference between Data Scientist and Business Analyst Last Updated : 15 Jul, 2024 Comments Improve Suggest changes Like Article Like Report In today's world where data is all around everyone relies on data professionals who can analyze and extract data to predict insights from the big data. Data Scientists and Business Analysts are the two main data professionals who deal with data to make informed decisions for organizations. They both handle data to predict insights, and their skills, approaches, and objectives may differ significantly. In this article, we will explore the main difference between Data Scientists and Business analysts, the skills required, and the responsibilities of both roles. What's The Difference Between A Data Scientist And A Business Analyst?Data ScientistA Data Scientist is a person who designs, develops, and deploys algorithms through statistical programming to create a model by creating, analyzing, and interpreting data which will ultimately help in making the business more efficient. But they not only deal with data analysis rather they develop predictive models that use machine learning algorithms that support business-making tools, manage a large amount of data, and create a visualization to aid in understanding.What are the skills of a Data Scientist?Object-oriented programming (OOP)Problem-solvingPython, R, SASSQL (Structured Query Language)Machine Learning algorithmsAnalysis dataData Visualization Communication Skills Responsibilities of data scientist Data preprocessingCreating predictive modelsFormulating new test cases for business developmentFine tuning the machine learning modelsIntegrating and storing data.Applying Statistical modellingBusiness Analyst A business Analyst is a person who acts as a bridge between business and information technology groups within the business. Mainly they work with stakeholders across the organization to understand the need of business and design solution for it. Generally they research and extract important information from structured and unstructured sources and use this information in determining future business performance and better solutions to business users.What are the skills of a Business Analyst?Problem-solvingAnalytic thinkingInterpretationMeeting with stakeholdersKnowledge on visualization toolsInformation technologyMS ExcelCommunication SkillsResponsibilities of business analyst Implementing technology solutionsEstablishing bridge between IT and Business OperationsOptimizing systems and processesCommunicating with their stakeholdersDetermining the functioning of the project.Quantifying the scope of the businessesDifference between Data Scientist and Business Analyst DATA SCIENTISTBUSINESS ANALYSTA data scientist analyzes, formats and extract data to predict insights from data .A business analyst analyzes client and business requirement.Generally a data scientist analyzes patterns in the data and make suitable decisions.Generally a business analyst interacts with clients and project managers to analyze their needs.Mostly they work only with structured data.Where as a business analyst works with both structured and unstructured data.They perform predictive and prescriptive analysis.They perform retrospective and descriptive analysis.They need to know Python, R, SAS, Spark, Tensorflow, Hadoop etc.They need to know SQL, R, Tableau, and Excel etc.They uses tools like data warehousing, data visualization and machine learning etc.They uses tools like Axure, Blueprint, Bit impulse etc.Annual average salary of a data scientist is about $120K.Annual average salary of business analyst is about $70K.They use models like schema on query.They use models like schema on load.Data scientists work on e-commerce, social media, finance, banking, IoT application industries.Where as business analysts work is limited to businesses and consultancy services. 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