Statistical Assistants support statisticians in collecting, analyzing, and interpreting quantitative data. Their job involves organizing data, running statistical tests, preparing reports, creating charts and graphs, maintaining databases, and conducting quality control checks on data. They may also assist with survey design, data collection, and data entry. Strong analytical skills, attention to detail, proficiency in statistical software, and good communication skills are essential for this role.
This income data is sourced from the May 2023 Occupational Employment and Wage Statistics (OEWS) survey. The dataset is updated annually.
Annual Pay Distribution | Salary |
---|---|
10th percentile | $36,910.00 |
25th percentile | $43,260.00 |
median (50th percentile) | $49,080.00 |
75th percentile | $57,140.00 |
90th percentile | $74,530.00 |
Hourly Pay Distribution | Hourly Rate |
---|---|
10th percentile | $17.74 |
25th percentile | $20.80 |
median (50th percentile) | $23.59 |
75th percentile | $27.47 |
90th percentile | $35.83 |
Statistical Assistants typically need at least a high school diploma or equivalent to enter the field, although some positions may require a college degree, often in statistics or a related field. These professionals generally need strong mathematical and analytical skills to assist with collecting, analyzing, and interpreting data for research projects. A solid foundation in computer science and statistical software is also crucial for this role. Statistical Assistants are responsible for organizing data, creating charts and graphs, and assisting statisticians in their work, making attention to detail and accuracy essential qualities for success in this occupation. Training for Statistical Assistants usually involves on-the-job learning where they acquire practical experience under the guidance of experienced statisticians. They may receive training in statistical methods, software applications such as SPSS or SAS, and data management techniques. Additionally, some employers may provide formal training programs or workshops to enhance their employees' statistical skills and knowledge. Continuous learning and professional development are vital for Statistical Assistants to stay current with advancements in statistical methodologies and tools used in the field.