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Image of career: Statistician

Statistician

Overview

Statisticians gather and compile statistics in one or more fields, and develop new systems and indicators to support users' statistical requirements.

Description

  • Compile statistics and develop new systems and statistical indicators for various fields.
  • Manage and analyse data from various sources.
  • Assess and prepare reports on statistical findings and data trends.
  • Design and refine methodologies and optimise statistical processes for better accuracy.
  • Derive insights from data to support policy-making decisions.

Entry requirements

  • In general, a Bachelor's Degree in Statistics, Mathematics, Economics, Computer Science, or a related field from a recognised institution is required.
  • Familiarise yourself with programming languages and other tools used in statistics and data analysis, such as R and Python or data visualisation tools like Tableau.

Salary

$3,500 – 5,500

/mo

Salary ranges are estimated based on public information found on Singaporean job portals, including MyCareersFuture, MySkillsFuture. Updated as of 2026.

Trivia

While quantitative analysis is important to their work, statisticians are also expected to possess critical thinking, problem-solving and communication skills.

What to expect

Build strong technical skills, critical thinking, and good communication abilities to help others understand data more meaningfully.

Soft
skills

Communication

Able to share complex statistical findings clearly to diverse audiences.

Presentation

Able to distil and present statistical findings clearly and simply.

Adaptability

Able to work well with constantly changing requirements and data.

Knowledge in Statistics

Good knowledge or experience in Economics, Statistics, Data Analytics, or any other related fields.

Analytical and Quantitative Skills

Adept at interpreting data and deriving meaningful insights related to statistical analysis and research.

Statistical Software

Familiar with using statistical and analytical tools and techniques for data compilation and analysis.

Hard
skills

Frequently asked questions

Statisticians handle different tasks that depend on their role and divisions, but typically their common tasks involve data collection, data cleaning and preparation, data analysis and statistical programming.

One of the greatest strengths of statisticians is their ability to make sense of complex data and extract useful insights to help with decision-making.

You should build a strong foundation in statistics and have a genuine passion for the field. A solid foundation in statistics will help them understand basic concepts like hypothesis testing, regression and probability.

Some examples include Economy and Prices, Trade and Investment, Industry, Households and Population just to name a few.

Some statisticians use tools like Anaconda, Jupyter Notebook, the Python and R programming languages, Power BI and more.