About This Role
This role supports assessment quality, innovation, and operational effectiveness through timely, accurate, and insightful analysis of assessment data. It enables evidence-based decision-making across assessment operations by providing analytical support during live series and post-series activity, identifying risks, trends, and improvement opportunities. This is delivered through the development and continuous improvement of scalable data products and insight reporting that maximizes the value of assessment data for stakeholders.
Responsibilities
- Deliver timely quality-assurance reporting for assessment creation, marking quality, grading and awarding, post-results activity, and customer/competitor insights, ensuring issues are identified, documented and routed to the appropriate owners
- Provide accurate and insightful analysis to PSQ stakeholders to support operational decision-making, including rapid-turnaround analysis during live series and deeper post-series evaluation
- Interrogate a broad range of assessment datasets to identify trends, anomalies, and risks/opportunities; produce clear findings, root-cause hypotheses and recommended actions for review and decision
- Maintain up-to-date knowledge of assessment processes, products and stakeholders, and apply this understanding to interpret data correctly, anticipate operational impacts, and tailor insights to audience needs
- Design, build, document and maintain dashboards, reports and analytical outputs, including defining metrics, assuring data quality, and implementing improvements based on user feedback
- Partner with stakeholders to capture business questions and reporting requirements; translate these into clear analytical approaches (e.g., definitions, data sources, logic, validation) and deliver fit-for-purpose outputs to agreed timelines
- Act on insight by escalating risks and exceptions through agreed governance routes, proposing interventions, and tracking outcomes to support continuous improvement and auditability
- Use appropriate analytical tools (e.g., Excel, SQL, Tableau) to extract, transform, validate and analyse complex datasets, creating efficient, automated and well-controlled analytical processes
- Promote data literacy across assessment teams by providing guidance on interpretation of dashboards/metrics, defining standards for reporting and documentation, and supporting stakeholders to use data confidently in decision-making
Requirements
- Data analysis: able to explore and analyse assessment datasets using appropriate analytical techniques to draw defensible conclusions
- Problem solving: able to define the problem, form testable hypotheses, identify the right data, and validate results under time pressure
- Insight communication: able to translate analysis into clear narratives for non-technical audiences, including key messages, assumptions/limitations and recommended actions
