Statistician Job Description and Role Profile

The Statistician role is suitable for professionals with strong quantitative skills who can translate complex data into clear, evidence-based insight. Candidates should have formal training in statistics or a closely related discipline and experience applying statistical methods to real-world problems.

Statistician Job Profile

The Statistician is responsible for designing analyses, developing and validating statistical models, and interpreting results to support decision making across projects. The role focuses on ensuring analytical rigour, reproducibility and clear communication of findings to technical and non-technical stakeholders.

This position requires a methodical approach to data handling and a commitment to statistical best practice. The Statistician will collaborate with colleagues across functions, contribute to study design and documentation, and support continuous improvement of analytical methods.

Statistician Job Description

The Statistician will plan and execute statistical analyses in accordance with project objectives and standards. This includes defining sampling strategies, selecting appropriate methods, validating model assumptions and conducting sensitivity analyses to assess robustness. The role involves preparing detailed statistical analysis plans and documenting procedures to ensure transparency and reproducibility.

The successful candidate will interpret analysis outputs, produce summaries and visualisations that communicate key findings, and present results to stakeholders to inform strategy or operational decisions. The role often requires translating technical results into actionable recommendations and collaborating with teams to implement insights.

In addition to routine analyses, the Statistician is expected to support methodological development, review work produced by peers or external partners, and advise on data quality, governance and ethical considerations. The role may include mentoring junior analysts and contributing to written reports or publications.

Statistician: Duties and Responsibilities

• Design statistical approaches for studies, surveys and experiments to meet project objectives.
• Develop, fit and validate statistical models and assess model performance and assumptions.
• Prepare statistical analysis plans and maintain clear documentation of methods and decisions.
• Perform data cleaning, transformation and quality assurance to ensure integrity of inputs.
• Conduct exploratory data analysis and derive meaningful summaries and descriptive statistics.
• Carry out hypothesis testing, estimation and uncertainty quantification where appropriate.
• Produce tables, charts and concise written summaries that communicate results to varied audiences.
• Provide statistical advice during study design, sample size calculation and protocol development.
• Perform sensitivity analyses and robustness checks to support reliable conclusions.
• Collaborate with cross functional teams to integrate statistical findings into project deliverables.
• Ensure reproducibility by documenting code, workflows and version control practices.
• Review analytical work of colleagues and external partners to assure quality and compliance.
• Support the development and adoption of improved analytical methods and standards.
• Mentor junior staff and contribute to training on statistical concepts and best practice.

Statistician: Requirements and Qualifications

• Relevant degree in Statistics, Mathematics, Econometrics or a closely related discipline; postgraduate qualification desirable.
• Proven experience applying statistical methods in a professional setting.
• Strong understanding of probability, statistical inference, regression and experimental design.
• Experience with model validation, diagnostic checking and uncertainty estimation.
• Proficiency in statistical programming and scripting to implement analyses and ensure reproducibility.
• Ability to manage and analyse large or complex datasets with attention to data quality.
• Excellent problem solving, numerical reasoning and critical thinking skills.
• Clear written and oral communication skills, with the ability to explain technical material to non-specialists.
• Familiarity with data governance, confidentiality and ethical considerations in analysis.
• Organisation and project management skills to handle competing priorities and deadlines.
• Experience producing reports, publications or regulatory submissions is an advantage.
• Demonstrated ability to work collaboratively in multidisciplinary teams and to provide constructive review and mentorship.