Science, Technology, Engineering & Mathematics (STEM)

Statistician

Statistical analysis and modelling

What this life looks like

You are the expert in turning data into reliable knowledge. Statisticians design studies, analyse data, and draw valid conclusions — ensuring that decisions in health, policy, agriculture, and business are based on evidence rather than guesswork. In a data-rich but evidence-poor continent, statisticians are extraordinarily valuable.

What she actually does

You design surveys and research studies that produce reliable data, choose appropriate statistical methods for different research questions, analyse data using software such as R, STATA, or SPSS, interpret and communicate findings clearly, identify when data or statistical methods are being misused, and provide expert guidance to organisations making evidence-based decisions.

Where you can work

SectorPlaces in Africa
National Statistics OfficesNational Bureau of Statistics Nigeria, Kenya National Bureau of Statistics, StatsSA
Research InstitutionsUniversities, clinical research organisations, public health institutes across Africa
International OrganisationsUN Statistics Division, WHO Africa, FAO, African Development Bank data teams
Finance & InsuranceActuarial and risk analytics departments at major African financial institutions

Why it matters in Africa

Africa faces a significant statistical capacity gap. Weak national statistics systems produce unreliable data that hinders effective policy. Clinical trials of new medicines need biostatisticians to ensure results are valid. Agricultural programmes need statisticians to evaluate their impact. The African Statistical System is actively building capacity across all countries.

Your pathway in

  • Excel in Mathematics at school — statistics is an applied branch of mathematics
  • Study Statistics, Mathematics, or a quantitative social science at university
  • Develop proficiency in R and STATA — the primary statistical software tools in research and government
  • Consider postgraduate study in biostatistics, survey methodology, or applied statistics
  • Gain practical experience through research attachments or internships at statistical agencies

Skills you will need

  • Statistical software (R, STATA, SAS, SPSS)
  • Survey design and sampling
  • Biostatistics and clinical trial analysis
  • Data visualisation
  • Scientific writing
  • Clear communication of uncertainty

A woman in this field

Dr. Purity Ngina

Kenya

Purity received her PhD in Biomathematics at the age of 28, making her one of the youngest PhD holders in that field in Kenya. She taught Financial Engineering, Financial Economics, and Actuarial Science at Strathmore University in Nairobi. Her career combines advanced statistics with financial mathematics, demonstrating how quantitative skills open doors across sectors in African economies.

Take your first step

  • Study Mathematics at the highest level available to you at school
  • Download R for free at r-project.org and complete an introductory tutorial
  • Learn about African Statistics Day (18 November) and what national statistics offices do
  • Explore free statistics courses on Khan Academy to supplement your school studies

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