Data Analyst vs Data Scientist
What Does a Data Analyst Do?
What Does a Data Scientist Do?
Differences and Similarities Between Data Analysts and Data Scientists
- A data analyst makes sense out of existing data through routine analysis and writing reports. A data scientist works on new ways to capture, store, manipulate and analyze that data.
- A data analyst works toward answering business-related questions. A data scientist works to develop new ways to ask and answer those questions.
- A data analyst relies on database software, business intelligence programs and statistical software. A data scientist uses Python, Java and machine learning to manipulate and analyze data.
Data Analyst vs. Data Scientist: Education and Work Experience
Data Analyst vs. Data Scientist: Roles and Responsibilities
Data Analyst Responsibilities:
- Data querying with SQL
- Data analysis and forecasting with Excel
- Creating dashboards with business intelligence software
- Performing various types of analytics (descriptive, diagnostic, predictive or prescriptive)
Data Scientist Responsibilities:
- Mining data with APIs or ETL pipelines
- Cleaning data with programming languages such as Python and R
- Performing statistical analysis
- Creating programming and automation techniques to simplify day-to-day processes
- Developing data infrastructures
Data Analyst vs. Data Scientist: Skill Comparison
Data Analyst vs. Data Scientist: Job Outlook
Data Analytics vs. Data Science: How the Two Careers Are Different
Other Related Careers
Data Analyst vs. Data Scientist FAQ
The best degree for you depends on your personal and professional goals. If you’re interested in data processing and statistical modeling, a degree in data analytics may be right for you. If you’re interested in machine learning or big data, you may want to pursue a degree in data science.
There can be some overlap between data analyst and data scientist jobs, which may be helpful when transitioning between roles. One of the best ways to develop relevant skills and stay on top of your education is to keep learning and building experience.
Common skills used by both data analysts and data scientists may include data mining, data warehousing, math, statistics and data visualization. Depending on their role in an organization, some data analysts may use programming languages such as R or Python.
According to O*NET OnLine, data scientists earned a median salary of $103,500 in 2022. The BLS reported a median salary of $85,720 for data analysts in 2022.