1-Designing experiments and surveys to collect data that can be used to answer specific research questions.

2. Collecting and cleaning data using appropriate statistical software and techniques.

3. Analyzing and interpreting data to identify patterns, trends, and relationships.

4. Developing statistical models to predict future outcomes or test hypotheses.

5. Communicating findings and insights to colleagues, clients, and stakeholders through reports, presentations, and visualizations.

6. Collaborating with other professionals, such as data scientists, researchers, and business analysts, to solve complex problems and make data-driven decisions.

7. Staying up-to-date with the latest developments in statistical methods, tools, and software.