Analytics Director

DATAHEAD is partnering with a global marketing agency supporting a market-leading Silicon Valley technology company to appoint an Analytics leader into a critical global role.

This client is a technology business at heart, with highly sophisticated in-house analytics and modelling capabilities. The agency’s role is focused on brand media strategy, measurement, and optimisation - and this position sits at the centre of ensuring campaign data is credible, actionable, and actually used in planning.

This is not a modelling or data science role. It is a senior analytics leadership position for someone who can take complex campaign data, interpret outputs from advanced models, and turn them into clear insights and confident recommendations for planners and senior stakeholders.

About the Role

This is not a modelling or data science role. It is a senior analytics leadership position for someone who can take complex campaign data, interpret outputs from advanced models, and turn them into clear insights and confident recommendations for planners and senior stakeholders.

Responsibilities:

Campaign Reporting & Insight

• Lead the global campaign reporting workstream, setting the standard for dashboards, recurring reports, post-campaign analysis and senior client readouts.
• Define and guide the development of reporting outputs that move beyond descriptive performance updates to provide clear insight, implications, recommendations and next steps.
• Ensure complex and multi-source campaign data is translated into compelling analytical storytelling for senior client and internal stakeholders.
• Work in lockstep with planning teams to ensure reporting is designed around the decisions that need to be made before, during and after campaign delivery.
• Guide teams to identify trends, patterns, performance drivers and opportunities within campaign data to inform future planning cycles and optimisation recommendations.
• Present findings and recommendations to senior client and internal stakeholders in a clear, concise and commercially relevant way.

Measurement Strategy & Client Advisory

• Act as a senior client-facing lead for reporting and measurement interpretation, confidently explaining methodology, assumptions, limitations and recommended actions.
• Partner with clients, planning teams and analytics specialists to define campaign learning agendas, KPI frameworks, reporting requirements and measurement priorities.
• Constructively challenge client and internal stakeholders on reporting interpretation, measurement expectations and the role of different tools in answering business questions.
• Stay close to industry trends and best practice in campaign measurement, reporting automation, data visualisation and insight storytelling.
• Ensure reporting and measurement outputs are connected to planning hypotheses, optimisation opportunities and wider business

Collaboration & Training

• Work closely with global planning teams to integrate reporting learnings and data-driven insights into campaign strategy and execution.
• Partner with local market teams to understand reporting needs, improve consistency and provide tailored support where
• Collaborate with technology,analytics and data governance teams to improve dashboard usability, data reliability, taxonomy discipline and reporting automation.
• Develop and deliver guidance, coaching and training to improve data literacy, insight writing, analytical storytelling and client-ready recommendations across the team.
• Act as a subject matter expert on campaign reporting, insight development and measurement interpretation, providing guidance and support to colleagues.

Technology, Data & Reporting Infrastructure

• Shape the development and adoption of reporting outputs in Rubik and other measurement platforms, ensuring tools are usable, strategically relevant and capable of supporting high-quality insight.
• Bring technical confidence to discussions around data sources, data quality, taxonomy, metric definitions, dashboard logic and measurement
• Work with technical specialists to troubleshoot reporting issues, improve data reliability and ensure the team can explain how key numbers are produced and what decisions they can credibly support.
• Support the development of reporting documentation, process guidance and standards that improve consistency across markets and workstreams.
• Partner with data governance and tooling teams on reporting requirements, while maintaining clear responsibility for the strategic usefulness, interpretation and adoption of reporting outputs.