Data Analyst/Data Scientist/Data Engineer
Job Title:Data Analyst | 1Hour Payment Range:₹96 - ₹2k | Average:₹486 |
Data Analyst
Data analysts gather, analyze, and interpret data to help businesses make informed decisions. Their work involves many tasks, including:
- Data analysts may use surveys, software, or purchase datasets from specialists.
- Data analysts prepare data for analysis by cleaning and reorganizing it.
- Data analysts use statistical tools to analyze data sets and look for patterns and trends.
- Data analysts interpret the results of their analysis and use the information to inform business decisions.
- Data analysts present their findings to stakeholders in a way that's easy to understand.
- Data analysts work with teams across departments and with clients to identify needs and opportunities for improvement.
- Data analysts create documentation so that stakeholders can understand the data analysis process and replicate it if needed.
Data analysts should have strong communication and collaboration skills, as well as the ability to manage multiple projects and meet deadlines
Data Scientist | 1Hour Payment Range:₹650 - ₹2k | Average:₹1,017 |
Data Scientist
Data scientists use their analytical skills and business acumen to:
- Develop algorithms and models: Create sets of instructions for computers to follow, and models to support machine learning programs
- Use machine learning: Use machine learning to categorize data, make predictions, and gain automated insights
- Test algorithms and models: Ensure algorithms and models are accurate, and update them with new data
- Visualize data: Use charts, maps, and other graphics to present findings to technical and nontechnical audiences
- Make recommendations: Use analysis results to recommend business decisions or process changes
- Source, manage, and analyze data: Examine which questions need answering and where to find the related data
Data scientists can focus on different areas of work, such as:
- Business intelligence: Gather and assess information to help business leaders make choices
- Cloud computing: Gather and analyze data stored in databases on the cloud
- Cybersecurity analysis: Gather information about an organization's online and internal information security
Some technical skills that data scientists need include:
- Statistical analysis and mathematics
- Programming and software engineering
- Data manipulation and visualization
- Machine learning and artificial intelligence (AI)
- Deep learning
- Natural language processing (NLP)
- Big data
Data Engineer | 1Hour Payment Range:₹470 - ₹2k | Average:₹983 |
Data Engineer
Data engineers work with large amounts of data to ensure it flows smoothly and securely from its source to its destination. Their responsibilities include:
- Developing and maintaining data pipelines: Using ETL processes to build, maintain, and manage data pipelines
- Working with databases and software: Working with databases, cloud systems like AWS or Azure, and software used to analyze data
- Cleaning and wrangling data: Being the first line of data cleaning and wrangling
- Supporting data analytics: Working closely with the data science team to implement data analytics pipelines
- Defining data governance policies: Helping to define data governance policies and support data-versioning processes
- Collecting, storing, and managing data: Collecting, storing, and managing large volumes of structured and unstructured data from various sources
Data engineers need to be able to code. They may also need to learn new skills and technology.
Data engineering is a growing field with a high demand for data engineers. In the US, the average base salary for a data engineer is $119,985, with some earning as much as $185,000 per year.
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