Senior Analyst (Learning Analytics)

What The Role Is

We are seeking an experienced Senior Analyst to lead and advance CSC's Learning Analytics practice in support of evidence-informed decision-making, learning effectiveness, and performance-led L&D.

The Senior Analyst serves as a senior practitioner and trusted analytical partner, working with stakeholders across College to translate learning-, capability-, and performance-related lines of inquiries into actionable insights and data-informed recommendations.

The role combines learning analytics, programmatic evaluation, applied research, stakeholder engagement, and data product development. The successful candidate strengthens CSC's understanding of how learning contributes to behavioural change, workplace application, capability development, and performance outcomes across the Public Service.

This is an applied analytics role that requires balancing the rigour of a researcher with the pragmatism of a consultant. Beyond producing robust analyses, the Senior Analyst is expected to derive meaningful implications from evidence, articulate the so what, and translate findings into practical actions that improve learning and performance-led outcomes.

The role will also contribute to the adoption of AI-enabled approaches within Learning Analytics and programme evaluation, enabling CSC to continuously improve how it measures, understands, and strengthens learning and organisational performance.

What You Will Be Working On

• Lead Learning Analytics projects from problem framing and evaluation design through to analysis, interpretation, recommendations, and implementation.
• Partner stakeholders to shape meaningful lines of inquiry, challenge assumptions, and translate learning-, capability-, and performance-related questions into appropriate analytical and evaluation approaches.
• Design and conduct rigorous quantitative, qualitative, and mixed-method studies to evaluate learning effectiveness, learning transfer, workplace application, behavioural change, capability development, and performance-led outcomes.
• Develop robust measures, meaningful indicators, and rigorous evaluation frameworks that support CSC's shift towards performance-led L&D and strengthen evidence-informed decision-making.
• Analyse structured and unstructured data using appropriate methodologies, including psychometrics, multi-level modelling, causal analysis, text analytics, and related analytical approaches.
• Translate complex analytical and evaluation findings into compelling narratives, actionable recommendations, and clear decision points for technical and non-technical stakeholders.
• Develop and maintain scalable analytical frameworks, methodologies, and data products (e.g. RShiny applications, Tableau dashboards, natural language interfaces) that strengthen CSC's learning intelligence capabilities.
• Explore and apply AI-enabled approaches (including automation, natural language processing, and large language models), to enhance analytical productivity and generate deeper insights into learning and performance outcomes.
• Serve as a subject matter expert in Learning Analytics and programme evaluation, contributing methodological expertise, thought leadership, and guidance to analytical initiatives across College.
• Represent CSC at local and international conferences, seminars, and professional forums by presenting analytical studies, programme evaluation findings, methodologies, and innovations in Learning Analytics and performance-led L&D.
  
  

Essential

What we are looking for

• Degree in Statistics, Data Science, Economics, Psychology, Learning / Cognitive Sciences, Business Analytics, Programme Evaluation, or a related discipline.
• At least 5 years of relevant experience in analytics, applied research, data science, consulting, or related fields.
• Strong proficiency in both quantitative and qualitative analytical methods, research design, programme evaluation, and data storytelling.
• Experience applying appropriate analytical methods such as statistical modelling, psychometrics, causal analysis, survey design, text analytics, or related approaches to solve complex business or learning-related problems.
• Demonstrated ability to lead analytical or evaluation projects from problem framing through to recommendation development and implementation.
• Strong ability to bridge analytical rigour and practical application, translating evidence into actionable insights that drive meaningful decisions and outcomes.
• Strong stakeholder engagement, facilitation, communication, and presentation skills, with the ability to work independently in ambiguous environments and manage multiple priorities effectively.
  
  

Preferred

• Master's degree in Statistics, Data Science, Economics, Psychology, Learning / Cognitive Sciences, Business Analytics, Programme Evaluation, or a related discipline.
• Experience in Learning Analytics, learning effectiveness, programme evaluation, workforce capability analytics, organisational research, or performance-led L&D.
• Experience evaluating the impact and effectiveness of learning programmes, interventions, digital learning resources, or capability development initiatives.
• Familiarity with R, Python, Tableau, RShiny, AWS ecosystem, and equivalent analytical and data product development tools.
• Experience applying AI/ML, NLP/LLM to real-world analytical or evaluation problems, and familiarity with AI tools (Perplexity, Claude Code, Copilot, or equivalent AI-enabled technologies).
• Experience presenting research, evaluation findings, or analytical work at conferences, seminars, or professional forums.