Data Scientist vs Data Analyst vs Data Engineer - Role & Responsibility, Skills, Salary |Simplilearn
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The document outlines the roles, responsibilities, and skill sets of data scientists, data analysts, and data engineers, emphasizing their place in data analytics teams. It details the income levels for each role, highlighting a data scientist's average salary of $137,000, compared to $67,000 for data analysts and $116,000 for data engineers. Additionally, it lists the technical skills and programming languages required for each position.
Data Scientist vs Data Analyst vs Data Engineer - Role & Responsibility, Skills, Salary |Simplilearn
- 1. Cover slide? I have asked Siddam again. Will update it once I get it.
- 2. What’s in it for you? Job Description Skillset Salary Roles and Responsibilities Companies Hiring
- 3. A data scientist is one who uses advanced level of data techniques to derive to business conclusions He/she is the senior most in the team and have an in-depth knowledge of statistics, data handling and machine learning They take the inputs from Data Engineers and Analysts and formulate actionable insights for the business Data Scientist
- 4. A data scientist is one who uses advanced level of data techniques to derive to business conclusions He/she is the senior most in the team and have an in-depth knowledge of statistics, data handling and machine learning They take the inputs from Data Engineers and Analysts and formulate actionable insights for the business Data Scientist A data analyst is an entry-level member into the data analytics team He/she needs to be good in technical skills and know the basics of data handling, modeling and reporting They can move into the roles of Data Engineer and Data Scientist with more experience Data Analyst
- 5. A data scientist is one who uses advanced level of data techniques to derive to business conclusions He/she is the senior most in the team and have an in-depth knowledge of statistics, data handling and machine learning They take the inputs from Data Engineers and Analysts and formulate actionable insights for the business Data Scientist A data analyst is an entry-level member into the data analytics team He/she needs to be good in technical skills and know the basics of data handling, modeling and reporting They can move into the roles of Data Engineer and Data Scientist with more experience Data Analyst Data Engineer A data engineer is an intermediary between the data analyst and the data scientist He/she needs to have expertise in developing, constructing and maintaining architectures Generally, they work on big data and submit their reports to the data scientist to analyze
- 6. Skillset Programming Languages Python, R, SQL, SAS, Java Frameworks Pig, Spark, Hadoop Technologies Machine Learning, Deep Learning Data Scientist
- 7. Skillset Programming Languages Python, R, SQL, SAS, Java Frameworks Pig, Spark, Hadoop Technologies Machine Learning, Deep Learning Data Scientist Programming Languages Python, R, SQL, SAS, JavaScript Tools SAS Miner, Microsoft Excel, SSAS, SPSS Data Analyst
- 8. Skillset Programming Languages Python, R, SQL, SAS, Java Frameworks Pig, Spark, Hadoop Technologies Machine Learning, Deep Learning Data Scientist Programming Languages Python, R, SQL, SAS, JavaScript Tools SAS Miner, Microsoft Excel, SSAS, SPSS Data Analyst Programming Languages Python, R, SQL, SAS, Java Frameworks Hadoop, MapReduce, Hive, Pig, Apache Spark, Data Streaming, NoSQL Data Engineer
- 10. Data Scientist Data Analyst $ 137,000 $ 67,000 Salary Source: Glassdoor
- 11. Data Scientist Data Analyst Data Engineer $ 137,000 $ 67,000 $ 116,000 Salary Source: Glassdoor
- 12. Roles and Responsibilities • Mine and clean data and process unstructured data • Designing models to work on big data • Infer and interpret the analysis on big data • Lead the entire data team to achieve their goals • Deliver conclusions that have a direct business impact Data Scientist
- 13. Roles and Responsibilities • Mine and clean data and process unstructured data • Designing models to work on big data • Infer and interpret the analysis on big data • Lead the entire data team to achieve their goals • Deliver conclusions that have a direct business impact • Gather information from a database through querying • Process data and provide summary reports • Use basic algorithms in their work • Have core skills in statistics, data munging, data visualization and exploratory data analysis Data Scientist Data Analyst
- 14. Roles and Responsibilities • Mine and clean data and process unstructured data • Designing models to work on big data • Infer and interpret the analysis on big data • Lead the entire data team to achieve their goals • Deliver conclusions that have a direct business impact • Mine through data for insights • Convert erroneous data into a usable form for further analysis • Write queries on data • Maintain the design and architecture of data • Create large data warehouses using ETL Data Scientist Data Analyst Data Engineer • Gather information from a database through querying • Process data and provide summary reports • Use basic algorithms in their work • Have core skills in statistics, data munging, data visualization and exploratory data analysis