Analytics Manager

Company description

Publicis Groupe is not just a company you work for; it’s a platform for you to take your talent to the world.

If you want to help change the world, ideas alone are not enough. Real impact can only come from having meaningful access to a world of knowledge, people and resources. At Publicis Groupe, you are connected to our global network, intelligence, tools, clients, brands and 80,000 brilliant minds with expertise in data, technology, media, strategy, creativity and business transformation, all literally at your fingertips.

Go ahead, the world is waiting.

Publicis Groupe is the third largest communications group in the world. Founded in Paris in 1926, we are present in more than 100 countries as leaders in marketing, communication, and digital business transformation. Two of its biggest solution hubs in Singapore - Publicis Communications and Publicis Media & Digital.

Publicis Communications, the creative communications hub of the Publicis Groupe, is a collective of the most passionate, purposeful, and progressive creative agencies in Singapore. They are Publicis Worldwide, Leo Burnett, Saatchi & Saatchi, Prodigious, and MSL.

Publicis Media & Digital, which is comprised of global media agency brands Starcom, Zenith, Spark Foundry, and Performics, is powered by digital-first, data-driven global practices that together, help our clients navigate the modern media landscape.

Our two other solution hubs, Publicis Sapient and Publicis Commerce, empower businesses to embrace digital transformation and equip them with a total commerce experience.

Overview

We are seeking an Insights & Analytics Manager to lead complex data intelligence, competitive intelligence and analytics programmes across APAC.

This role combines analytical leadership, AI-enabled analytics, data quality and methodology, project management and client advisory. The successful candidate will be comfortable working with large and complex datasets from multiple sources, determining their reliability, developing appropriate analytical and normalisation approaches, and turning the results into clear recommendations for clients and senior stakeholders.

The Manager will also play an important role in evolving how the team works, using AI, automation and modern analytics tools to improve the speed, accuracy, scalability and sophistication of our analytical products and processes.

This is not simply a reporting or dashboard management role. We are looking for someone with strong analytical judgement who can challenge data, interrogate methodologies, identify problems, guide analysts and take ownership of the quality of the final output.

Responsibilities

Data Intelligence & Analytical Leadership

• Lead the analysis of complex, multi-source datasets across digital media, competitive intelligence, consumer research and other marketing intelligence sources.
• Guide the integration, transformation and analysis of large datasets using SQL and modern cloud-based data environments.
• Oversee the development of analytical outputs and dashboards using Power BI or Looker/Looker Studio, ensuring outputs are accurate, intuitive and decision-focused.
• Develop and oversee data validation, normalisation, benchmarking and estimation methodologies across different markets, platforms and data sources.
• Evaluate the quality and reliability of data sources using techniques including correlation analysis, benchmarking, anomaly detection and statistical validation.
• Ensure analytical conclusions are supported by the underlying evidence and clearly communicate data limitations, assumptions and confidence levels.
• Translate complex analytical findings into clear insights and recommendations for clients and senior stakeholders.

AI, Automation & Innovation

• Champion the practical application of generative AI and AI-assisted analytics across research, data analysis, QA, coding, reporting and insight generation.
• Identify opportunities to automate repetitive data preparation, validation, analysis and reporting workflows.
• Guide the team in using AI effectively and responsibly, including critically evaluating AI-generated analysis rather than accepting outputs at face value.
• Evaluate emerging AI and analytics capabilities and identify practical opportunities to incorporate them into the team's products and methodologies.
• Drive continuous improvement in analytical processes, helping transition manual workflows towards more automated, scalable and repeatable approaches.
• Encourage continuous AI and analytics learning across the team through practical experimentation, courses, certifications and knowledge sharing.

Competitive Intelligence & Research

• Act as a subject matter expert in competitive intelligence, digital media analytics