Manager / Senior Manager, Analytics

About the role

Dentsu's Iprospect brand is hiring a Manager / Senior Manager, Analytics in Singapore. As a hands-on analytics leader, you will design and deliver advanced analytics, reporting and measurement solutions that help clients and internal stakeholders make data-driven decisions. The role is predominantly individual contributor, leading complex analytics engagements, building scalable analytical solutions and driving automation with AI, while mentoring a small team of analysts.

Key responsibilities

• Design and build scalable dashboards, reporting solutions and self-service analytics products, and automate workflows with SQL, Python and cloud data platforms
• Develop reusable analytics frameworks and accelerators, and apply generative and agentic AI to automate reporting and improve documentation
• Ensure data quality and accuracy, build analytics-ready datasets and work with engineering teams to improve data pipelines
• Work with data from Google Marketing Platform, Meta, LinkedIn, TikTok, Amazon Ads, CRM and sales systems, and help standardise measurement methodologies
• Manage API connectors for Google Ads, Meta Ads, DV360, CM360 and LinkedIn, and support ETL/ELT pipelines with Python, SQL and Airflow/Composer
• Support cloud deployment of ML models using CI/CD, containerization and orchestration tools
• Partner with media, strategy, planning, product and client teams, present findings to clients and stakeholders, and contribute analytical expertise to pitches and solution design

Required profile

• Strong communication, storytelling and stakeholder management skills, able to turn analytical outputs into business language
• High analytical curiosity, attention to detail and problem-solving strength
• Collaborative across analytics, engineering, product, strategy and media teams
• Proactive and adaptable in fast-paced agency environments, able to guide teams and influence decisions

Required skills

• SQL and cloud data warehouses (GCP, BigQuery, GCS)
• Data visualization and BI tools, especially Power BI and Google Data Studio
• Python (pandas, scikit-learn, PySpark, Keras, NumPy) and predictive modelling, marketing analytics and media measurement
• Familiarity with generative AI tools such as LlamaIndex, LangChain, OpenAI and Copilot