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Senior Data Insights Officer

King's College London - Student Knowledge Info & Enquiries

Location: London
Salary: From £39,076 per annum, including London Weighting Allowance
Hours: Full Time
Contract Type: Permanent
Placed On: 26th February 2026
Closes: 15th March 2026
Job Ref: 138289

About the role

The Senior Data Insights Officer plays a key role in using data, insight and research to improve student experience and service delivery at King’s. Working across a portfolio of core digital products — including Microsoft Dynamics CRM, the King’s Student App and AI-enabled tools — the role focuses on generating high-quality insight that enables teams to understand performance, respond to student needs and make evidence-informed decisions.

The post holder will lead on the analysis of complex quantitative and qualitative datasets, using tools such as Microsoft Power BI and AI-enabled text analytics to monitor institutional KPIs, support service-level agreements, and surface actionable insights for stakeholders across the university. This includes analysing student feedback from multiple sources, supporting institutional survey analysis, and producing clear, well-structured reports and insight outputs that communicate findings to a range of audiences.

The role works closely with Digital Product, UX and Student Services colleagues, supporting the analysis and synthesis of data generated through user research and service design activity. The role also contributes to a culture of evidence-led innovation by testing ideas, evaluating impact, and supporting strategic initiatives such as the Single View of Students.

Reporting to the Data Insights Manager, the Senior Data Insights Officer works with a high degree of autonomy, building strong relationships with stakeholders and acting as a trusted partner for teams across academic and professional services.

This is an exciting opportunity for candidates who want to apply advanced analytical skills to real-world challenges, influence how digital services are designed and delivered, and have a tangible impact on student experience and success.

This is a full-time post offered on an indefinite contract.

About you 

Essential criteria

  • Relevant work experience and/or education: We think a wide range of different work and educational experiences could support you to be successful in this role. Relevant work experience might include service delivery in higher education, or supporting data analysis in large and complex organisations. Relevant educational experiences might include higher education in a related discipline, professional qualifications or other training.
  • Experience using data analysis software to clean and manipulate large and/or complex datasets, showing strong attention to detail, especially in support of KPI reporting.
  • Ability to analyse complex qualitative and quantitative data sets through rigorous research methodologies to identify trends, patterns and insights, producing and presenting thorough and comprehensible reports adapted to a range of stakeholders and internal customers.
  • Ability to proactively and independently establish and maintain professional working relationships with external and internal stakeholders, building the profile of the team.
  • Ability to both independently manage own workload (supported by and actively communicating with line manager) and collaborate effectively with the team.
  • Thorough knowledge of quantitative and qualitative research methodologies, and experience using relevant software like Excel, Microsoft Power BI and Nvivo.
  • Knowledge of and enthusiasm for higher education and improving the student experience.
  • Working knowledge of data protection laws and compliance best practice (such as GDPR and PECR).

Desirable criteria

  • Experience using Microsoft Dynamics 365 CRM (customer relationship management) software.
  • Awareness of how digital product teams operate and their role in the product development lifecycle, in particular in a Scaled Agile Framework (SAFe) setting.
  • Experience working in AI product delivery, especially with a focus on data insights and reporting.
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