Data & Analytics Lead

Role overview

Data function and reporting

• Map data sources, owners, definitions, access rights, reporting rhythms and decision needs across the organisation.
• Design and implement a data stack for information from digital channels, website, search, email, ReformGo, membership, campaigns and other systems.
• Establish definitions, baselines, targets and data-quality standards and build a roadmap toward timely, increasingly automated decision support.
• Create role-appropriate dashboards and scorecards that show trends, targets and context and support decisions.
• Connect activity and output to outcomes where attribution is reasonable, and automate recurring reporting where practical.

Analysis and organisational adoption

• Produce concise analysis explaining what changed, why it matters, likely drivers and recommended action.
• Identify journey drop-offs and work with teams to test improvements; use hypotheses, success criteria and post-test analysis to support learning.
• Use segmentation and cohort analysis to identify meaningful behavioural patterns.
• Work with senior stakeholders and organisational teams on performance reviews and practical analysis.
• Challenge weak assumptions and vanity metrics, clarify uncertainty, and train colleagues to understand dashboards and core metrics.

Governance and leadership

• Align analytics work with UK GDPR, the Data Protection Act, ICO guidance and relevant organisational policies.
• Work with the DPO and system owners on lawful basis, consent, minimisation, retention, access, pseudonymisation, URL and log hygiene, and appropriate personal-data use.
• Maintain data lineage, permissions and documentation so metrics are reproducible and sensitive information is appropriately restricted.
• Build monitoring for material changes, broken journeys, unusual movements and data-quality failures.
• Build relationships with senior leaders, digital teams, campaigns, membership, operations, suppliers and technical partners.

Role capabilities

• Lead the development of an organisation-wide data and insight function and practical data stack.
• Establish trusted reporting, data definitions and quality standards.
• Deliver useful dashboards, analysis and automated reporting for different audiences.
• Apply data governance and UK data-protection requirements in analytics work.
• Communicate findings and work effectively with senior stakeholders and teams.