Assistant Director / Lead Analyst - Data & Analytics

About the role

The College is looking for an experienced Analyst to shape its use of data and analytics in support of strategic decision-making, organisational performance and learning excellence. Reporting to the Chief Data Officer, the role is both a technical leader and a strategic advisor who partners with senior stakeholders to turn complex business questions into actionable insights, data products and evidence-based recommendations. It combines leadership, hands-on analytics, stakeholder engagement and data product development.

Key responsibilities

• Advise senior leaders and stakeholders on key lines of inquiry and lead agency-wide analytics projects, from problem framing and data sourcing to modelling and deployment.
• Guide the design of metrics, KPIs and measurement frameworks that support evidence-based decision-making.
• Translate analytical findings into clear narratives and actionable options for technical and non-technical audiences.
• Build scalable data products such as R Shiny applications and Tableau dashboards.
• Lead quantitative and qualitative analyses including psychometrics, structural equation modelling, predictive analytics and text analytics.
• Explore and adopt AI-enabled approaches such as automation, LLMs and natural language interfaces.
• Lead, coach and develop an analytics team and build in-house data and analytics capabilities.

Required profile

• Degree in Statistics, Data Science or a related discipline; a Master's degree is additional.
• At least 10 years of experience in analytics, business intelligence, research or data science, including at least 3 years supervising and managing teams.
• Experience working with senior stakeholders and leading projects from framing to implementation.
• Additional: experience in learning analytics, programme evaluation, demand forecasting, market intelligence, and in synthesising AI, machine learning and NLP in business contexts.
• Experience developing enterprise data products in line with Government's IM and leading complex, ambiguous project teams.

Required skills

• Strong analytical methods, research design (experimental, quasi, mixed-methods), item design and causal analysis including psychometrics.
• Data visualisation and storytelling.
• Familiarity with R, Tableau and the AWS ecosystem, and with GenAI tools such as Perplexity and ClaudeCode.