Duties and accountabilities
· Support foundational data delivery: Contribute to custom data studies from source assessment and data preparation through enrichment, modelling, validation, documentation and final-output readiness.
· Project Management: Lead end-to-end data delivery for data consulting and custom research projects, from data sourcing and enrichment through modelling, validation, and final client delivery.
· Apply data methodologies: Learn and consistently apply approved methods and estimation frameworks used to transform foundational datasets into robust market estimates and actionable insights.
· Perform data quality checks: Complete defined validation routines, reconcile anomalies, document findings and escalate material quality issues promptly.
· Prepare and transform data: Clean, structure, combine and enrich data from multiple sources using suitable analytical tools and repeatable processes.
· Maintain clear documentation: Record sources, assumptions, transformation logic, validation evidence, limitations and handover information to support traceability and reuse.
· Translate data into usable outputs: Present findings clearly and accurately for technical and non-technical audiences, with support from senior colleagues where needed.
· Support project governance: Follow established delivery toolkits, checklists, information-handling requirements and quality-governance standards throughout the project lifecycle.
· Contribute to feasibility and scoping: Provide data-source observations, early analysis and practical delivery input to help senior colleagues assess feasibility, effort and risk.
· Use technology responsibly: Build working knowledge of automation, AI and GenAI-enabled approaches and apply them only within approved governance frameworks.
· Improve ways of working: Identify recurring issues and suggest practical improvements to templates, checks, documentation and repeatable delivery processes.
· Collaborate across teams: Coordinate tasks and dependencies with cross-functional colleagues, communicate progress and risks clearly, and support timely resolution of issues.
· Build capability: Actively seek feedback, participate in training and knowledge sharing, and progressively take ownership of more complex data-delivery activities.
Success in the role will look like
· Assigned data-delivery activities are completed accurately, on time and with clear documentation.
· Data outputs meet agreed quality checks, with anomalies investigated, and material risks escalated promptly.
· Approved methodologies, governance requirements, and delivery standards are applied consistently.
· Project colleagues receive clear progress updates, dependable handovers, and practical support.
· Technical competence and delivery ownership grow steadily through feedback, training and hands-on experience.
· Practical improvements are contributed to checks, templates, documentation, or repeatable processes.