
A Statistical Assistant supports statisticians and data analysts by organizing data, conducting basic analyses, and preparing reports. They play a crucial role in the collection, processing, and interpretation of quantitative data.
Actuarial Analyst, Actuarial Assistant, Actuarial Technician, Research Assistant
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According to the U.S. Bureau of Labor Statistics, typical income (in USD) in 2024 was...
| Bottom 10% | Bottom 25% | Median (average) | Top 25% | Top 10% |
|---|---|---|---|---|
| $38K per year | $46K per year | $51K per year | $64K per year | $79K per year |
Compared to other careers: Median is $1.94K above the national average.
Statistical Assistants typically work in offices, often within government agencies, research firms, or corporate environments. Their role is mostly computer-based, involving the use of statistical software and databases, and it may require collaboration with other team members, including statisticians and researchers.
Statistical Assistants are integral in transforming data into understandable and usable information. They must be meticulous in their work, ensuring data is accurately collected, entered, and analyzed. This role requires a strong foundation in mathematics and statistics, as well as proficiency in statistical software and tools. Understanding the principles of data collection and analysis is crucial, as is the ability to communicate findings effectively through visual and written means.
The role offers a balance between independent work on data processing and collaborative efforts in report preparation and analysis. As data becomes increasingly important in various sectors, Statistical Assistants can find opportunities in diverse fields, ranging from healthcare to finance, offering varied and dynamic career paths.
This occupation is ideal for those who enjoy working with numbers and have a keen interest in data interpretation. It provides a unique opportunity to contribute to data-driven decision-making processes in various industries. The role is constantly evolving with technological advancements, making continuous learning and adaptation a necessary part of the job.
A bachelor's degree in mathematics, statistics, economics, or a related field is commonly required. Additional experience or knowledge in statistical software and data analysis techniques is also highly valued.
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