Statistician: meaning, definitions and examples

A statistician specializes in the collection, analysis, interpretation, and presentation of quantitative data. They often work in academic, governmental, or research settings and focus on creating mathematical models and conducting surveys.

• The statistician analyzed the survey data to determine the average household income.
• As a statistician, Maria developed new statistical methods to predict disease outbreaks.

A data analyst examines large sets of data to identify patterns and trends, often in a business context. They usually work with tools and software to extract insights that support decision-making processes.

• The data analyst used SQL to query the company's database and generate reports.
• As a data analyst, John prepared dashboards to visualize sales performance.

A quantitative analyst, often called a 'quant,' applies mathematical and statistical techniques to financial and risk management problems. They usually work in finance sectors such as investment banking, hedge funds, and insurance companies.

• The quantitative analyst developed a model to assess the risk of different investment portfolios.
• As a quant, Damon focused on creating algorithms for high-frequency trading.

A data scientist combines statistical skills with programming and data engineering knowledge to solve complex problems. They often develop advanced algorithms, perform machine learning, and work on big data projects.

• The data scientist created a predictive model to forecast future customer behavior.
• Working as a data scientist, Laura used Python and machine learning to analyze social media trends.