Build and maintain predictive R-models that power research outputs, including implicit and explicit consumer testing results.
Translate research frameworks into structured analytical models and statistical workflows.
Ensure data accuracy, integrity, and reproducibility across all quantitative studies.
Liaise with external research and technology partners to manage data pipelines and integrations.
Act as the primary technical contact for third-party panel providers and oversee the end-to-end fieldwork lifecycle.
Troubleshoot technical issues across data collection, processing, and reporting workflows.
Contribute to the development of scalable research infrastructure.
Synthesize disparate data points into a cohesive narrative, including compelling data visualisations and actionable insights, and recommendations.
Design clear results presentations that lead the audience from the initial research question to a clear, data-backed conclusion.
Act as a trusted analytical voice in client conversations, shaping the narrative from data to insight and guiding stakeholders toward clear, actionable decisions.
Partner with Strategy and Client teams to ensure analytical outputs land with impact, influencing both the direction of the work and client decision-making.
Drive the implementation of AI and automation tools across analysis and reporting workflows.
Support the development of technology-enabled research products in partnership with Product teams.

5–7+ years’ experience in quantitative research, analytics, or data science within a research or consultancy environment.
Strong proficiency in R or equivalent statistical tools, with experience building predictive and applied models.
Demonstrated expertise in survey logic design, platform deployment, and data validation processes.
Understanding of third-party research platforms, APIs, and data integration workflows.
Practical experience implementing automation or AI tools to improve efficiency and scalability.
Ability to explain complex analytical processes clearly to research and non-technical stakeholders.
Strong systems thinking with experience building repeatable, scalable analytical workflows.
Demonstrated ability to manage concurrent projects while maintaining quality, timelines, and confident client communication.

Inspiration, knowledge, career development, on top of our financial package. You’ll also be working with an international bunch of remarkable musically-infused individuals.

Senior Data Analyst

Key skills