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Head of Analytical Leads

Australia, Sydney · Job Posted March 04, 2026
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Job Description

Microsoft Advertising is a global leader in digital advertising, helping advertisers grow through search, display, video, and retail media solutions. We are seeking a Head of Analytical Leads to lead a high‑performing team that turns data into measurable business impact. In this role, you will manage a team of senior analytical leaders across APAC, delivering insights and recommendations that improve client performance and unlock new investment opportunities on the Microsoft Advertising platform. You will combine industry knowledge, digital marketing expertise, and advanced analytics to craft compelling, data‑driven narratives that influence senior decision‑makers through clear storytelling and visualisation. The ideal candidate brings strong people leadership, analytical and consulting capabilities, and a proactive, challenger mindset, with the ability to partner effectively across teams and markets.

Job Responsibility

  • People Management: Managers deliver success through empowerment and accountability by modeling, coaching, and caring
  • Application of Data: Ensures team members evaluate the sufficiency of data between internal and external sources, drives accountability of identification and resolution of data quality issues, and encourages and coordinates cross-team collaboration and data sharing to build data pipelines or integrations
  • Data Analysis: Builds best practices for team members to leverage and apply their expertise across client and business-related analytical needs
  • Data Privacy and Governance: Contributes knowledge across the team in data privacy and governance rules and regulations and guides others to uphold and apply updated data privacy and governance
  • Improvement, Efficiency, and Innovation: Guides the team to develop and implement methods that create systematic efficiencies in core work related to analytics and reporting
  • Orchestration and Collaboration: Establishes and leverages strategic working relationships within and across internal and client teams to ensure data sources, methodologies, models, and analytical tools and processes are high-quality
  • Presentation of Results: Provides guidance to team members on the development and delivery of compelling and easily understood client-facing presentations of analyses, reports, data visualizations, etc
  • Understanding Client's Business: Advances own and team's comprehensive understanding of clients' business knowledge, including industry trends, clients' value propositions, and the competitive landscape

Requirements

  • 8+ years experience in statistics, mathematics, analytics, data science, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience 8+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets
  • 2+ years people management experience
  • Experience in the APAC Market including Australia, Japan, and China
  • Experience communicating complex analyses to a mix of both technical and non-technical partners and clients
  • Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights
  • Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels
  • Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions
  • Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization
  • Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API
  • Working knowledge of statistics, predictive modeling and data clustering/classification techniques

Nice to have

  • Experience in a partner or account management/client service/client-facing role
  • Experience in digital media, data analysis, and data management

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