Continuous Improvement
Identify recurring issues and practical improvements across data, reporting, documentation and workflows; support automation where appropriate.
Key Responsibilities
Support the day-to-day delivery of Media Intelligence workflows, maintaining agreed priorities, service standards, quality and responsiveness.
Complete data quality checks, QA and exception management across media data and reporting workflows, escalating material issues to the Manager or appropriate owner.
Produce and maintain scorecards, dashboards, alerts and recurring reporting, ensuring outputs are accurate, relevant and easy for stakeholders to use.
Work closely with Digital Operations, Governance and other teams to identify data issues and support corrective actions.
Support adoption of self-service reporting and intelligence capabilities through clear guidance, documentation, user support and enablement activity.
Maintain assigned actions, tickets, dependencies and deadlines within the Media Intelligence backlog and improvement plan, keeping status information current.
Share useful learning and best practice with colleagues and Regional teams, helping improve consistency and understanding across the wider Media Intelligence community.
What You Will Bring
2+ years of experience in data platforms, reporting infrastructure, cloud architecture, or related technology leadership roles.
Support the day-to-day delivery of Media Intelligence workflows, maintaining agreed priorities, service standards, quality and responsiveness.
Perform data quality checks, QA and exception management across media data inputs and reporting workflows, escalating material issues appropriately.
Produce and maintain scorecards, dashboards, alerts and recurring reporting, ensuring outputs are accurate, relevant and easy for stakeholders to use.
Comfortable working with reporting platforms, data tools and evolving automation or AI-enabled workflows, with a willingness to learn new capabilities.
Analyse reporting trends, QA findings and stakeholder feedback to identify recurring issues, patterns and opportunities for improvement.
Experience working with data, reporting and operational stakeholders, with the ability to communicate clearly with both technical and non-technical colleagues.
Practical experience in data QA, validation, reconciliation, reporting or operational support, ideally within a complex or multi-market environment.



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