data-analyst/references/tasks.md

Tasks & work activities — data analyst

Source: O*NET 30.3, occupation 15-2051.00 (Data Scientists).

Task statements

• [nan] Analyze, manipulate, or process large sets of data using statistical software.
• [nan] Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
• [nan] Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
• [nan] Clean and manipulate raw data using statistical software.
• [nan] Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
• [nan] Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
• [nan] Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
• [nan] Design surveys, opinion polls, or other instruments to collect data.
• [nan] Identify business problems or management objectives that can be addressed through data analysis.
• [nan] Identify relationships and trends or any factors that could affect the results of research.
• [nan] Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
• [nan] Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
• [nan] Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.
• [nan] Recommend data-driven solutions to key stakeholders.
• [nan] Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
• [nan] Write new functions or applications in programming languages to conduct analyses.

Detailed work activities

• Advise others on analytical techniques.
• Analyze business or financial data.
• Analyze data to identify or resolve operational problems.
• Analyze data to identify trends or relationships among variables.
• Analyze data to inform operational decisions or activities.
• Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
• Determine appropriate methods for data analysis.
• Develop procedures to evaluate organizational activities.
• Develop scientific or mathematical models.
• Prepare analytical reports.
• Prepare data for analysis.
• Prepare graphics or other visual representations of information.
• Present research results to others.
• Select resources needed to accomplish tasks.
• Update technical knowledge.
• Write computer programming code.