Responsible for collecting and analyzing data to provide insights into complex business problems. Duties include designing and executing surveys, conducting statistical analysis, and making recommendations based on findings. 

Conducts research and designs experiments to explore the relationships between variables. Uses advanced statistical techniques such as regression and hypothesis testing to uncover insights. Analyzes results to draw meaningful conclusions and communicate findings to stakeholders.

 Collects and analyzes data to uncover trends and relationships. Develops models and algorithms to interpret data, identify correlations, and explain outcomes. Utilizes sophisticated software tools to interpret data and generate reports.

 Develops predictive models to forecast future outcomes. Works with large datasets to identify patterns, trends, and outliers. Assists with identifying and resolving data anomalies. Generates reports and visualizations of data to aid in decision making.

SKILLS

1. Proficiency in R software: Ability to apply R software to analyze data and prepare meaningful visualizations and reports.

 2. Data Analysis and Interpretation: Ability to interpret data and draw meaningful conclusions from the results. 

3. Excel: Proficiency in using Excel for data analysis and visualization. 

4. SPSS: Skills in using SPSS for data analysis, including descriptive statistics and inferential tests.

 5. Essay Writing: Ability to write clear and concise essays that are supported by statistical evidence.

 6. Good Communication Skills: Ability to communicate complex statistical information in a clear and concise manner. 

7. Mathematics: Knowledge of various mathematical concepts and their application to data analysis.