Senior Statistician & Technical Lead — Education Project

Please note this is an Expression of Interest (EOI) for an upcoming project.

By applying, you confirm your interest in being considered, and you consent to your CV being shared with the client as part of a bid process.

We are seeking expressions of interest from an experienced Principal Statistician / Technical Lead to support an upcoming national-scale survey and data analytics project in the education sector.

The project is expected to involve large-scale stakeholder feedback, survey data collection, statistical analysis, and reporting to support quality improvement and evidence-based decision-making across the higher education ecosystem.

The Principal Statistician / Technical Lead will provide overall technical leadership, analytical direction, and quality oversight across the project. This role will be responsible for setting the statistical methodology and analytical approach, ensuring technical consistency across all work streams, and providing final review and sign-off on key analytical outputs.

The role requires a strong combination of advanced statistical expertise, experience in measurement and evaluation, and familiarity with academic quality and accreditation environments.

• Provide overall technical direction across all project items and analytical work streams.
• Set the statistical methodology, analytical framework, and technical approach.
• Oversee sampling, estimation, data analysis, and quality assurance methodologies.
• Ensure analytical outputs are statistically sound, consistent, and fit for reporting.
• Provide quality oversight across data processing, quantitative analysis, qualitative inputs, indicators, dashboards, and reports.
• Review and validate methodologies, assumptions, outputs, charts, tables, and findings.
• Lead final technical review and sign-off for key deliverables.
• Provide guidance to statisticians, data scientists, analysts, and reporting teams.
• Ensure outputs align with quality, accreditation, measurement, and evaluation requirements.

Candidates should hold a Master’s or PhD in one of the following fields:

• Data Science and Analytics
• Measurement Evaluation
• Statistics
• Or a related field

In addition, candidates should have:

• Teaching experience
• Academic administration experience
• Understanding of quality and accreditation regulations

Candidates should have a minimum of 8 years of relevant experience
, ideally including:

• Statistical leadership on large-scale survey or research programs
• Measurement and evaluation methodology
• Sampling, statistical estimation, and data quality assurance
• Technical review and sign-off of analytical outputs
• Higher education, academic quality, accreditation, or institutional evaluation
• Leading multidisciplinary analytical teams
• Developing methodologies for national, institutional, or public-sector reporting

If you are interested in being considered for this upcoming opportunity, please submit your updated CV for review.

Shortlisted profiles may be included as part of a client bid submission.