Manager – Data Analytics & Insights

Client & Stakeholder Management

• Manage relationships with cross-market stakeholders across the APAC region, ensuring alignment on project scope, reporting frameworks, and delivery timelines.
• Support client presentations, strategic discussions, and new business pitches (when required) by delivering customised competitive intelligence insights & reports, and data visualisations/ Dashboards.
• Act as a trusted advisor on analytics and competitive intelligence, helping stakeholders interpret complex datasets and apply insights to strategic decision-making.
• Collaborate closely with senior leadership and client teams to identify business opportunities and develop workstreams for efficient delivery of Projects.
• Maintain consistent communication with stakeholders to ensure transparency, high-quality deliverables, and strong client satisfaction.

Business Process & Operational Excellence

• Lead the development and optimization of analytics workflows, reporting processes, and operational frameworks to improve efficiency and scalability.
• Establish standardised reporting methodologies, QA procedures, and documentation practices to ensure consistency across regional markets.
• Drive automation initiatives and process improvements to reduce manual dependencies, accelerate turnaround times, and enhance productivity.
• Coordinate with cross-functional teams to ensure effective project execution, clear task ownership, and timely delivery of analytical outputs.
• Maintain detailed documentation of process workflows, data governance standards, and project guidelines to support operational continuity and onboarding.
• Support resource planning and workload prioritization, enabling the team to manage multiple concurrent analytics projects across different markets.

Project Management

• Manage end-to-end delivery of analytics and reporting projects, ensuring alignment with business objectives, timelines, and client expectations.
• Coordinate with regional teams, cross-functional stakeholders, and data partners to ensure smooth execution of projects across multiple markets.
• Define project scope, deliverables, timelines, and resource allocation to ensure efficient planning and execution.
• Monitor project progress and proactively address risks, scope changes, and operational challenges to ensure timely delivery.
• Maintain clear project documentation, also ensuring all analytical outputs undergo structured QA processes to maintain data accuracy and reporting quality.
• Lead regular project status updates and stakeholder communications, providing visibility on progress, key insights, and potential issues.

Team Leadership & Capability Development

• Manage & Guide a team of Data analysts & Interns, strengthening data literacy, analytical capabilities, and reporting best practices within the team.
• Review analytical outputs and dashboards to ensure accuracy, quality, and alignment with business objectives and client requirements.
• Foster a culture of collaboration, continuous improvement, and innovation within the analytics function.

• Minimum 7+ years of experience in data analytics, data engineering, ETL processes, and automation using SQL and Python in Cloud environments like Google Cloud Platform or Microsoft Fabric.
• Experience working with regional teams and multi-market projects within the APAC region, ideally in the Marketing function.
• Excellent English communication skills, both written and verbal, to interact effectively with regional stakeholders and senior leadership.
• Strong experience with BI platforms such as Looker Studio, Tableau, and Power BI.
• Hands-on experience in data integration, transformation, and analysis using SQL, BigQuery, and Python, with familiarity in Google Cloud Platform environments.
• Experience working in a media agency, marketing, or advertising ecosystem, with familiarity in media analytics or marketing performance reporting, is preferred.
• Advanced proficiency in Microsoft Excel and PowerPoint, including pivot tables, dashboards, and analytical presentations.
• Basic understanding of statistical analysis, research methodologies, and data-driven decision frameworks.
• Highly organized and detail-oriented with the ability to manage multiple projects and competing priorities effectively.
• Self-motivated and proactive, with a strong interest in leveraging AI and automation within the media and analytics ecosystem.
• Comfortable working in fast-paced, results-driven environments and collaborating with diverse regional teams.