About this role
Commercial Insights & Storytelling: Partner with APAC Marketing and Sales teams to deliver custom ad-tech research, market intelligence, and advanced analytics in the form of executive Keynote narratives, talking points, and go-to-market (GTM) materials.
AI-Powered Insights Transformation: Drive the evolution from traditional insights generation to LLM-based workflows, building AI-enabled tools and interfaces that synthesize complex data, automate summarization, and produce sales GTM materials at scale.
3rd-Party Research & Vendor Strategy: Partner directly with syndicated and custom measurement vendors (e.g., Sensor Tower, Comscore, eMarketer) to source competitive intelligence, integrate external data feeds, and scale third-party datasets into commercial data products.
BI & Analytical Modeling: Design, build, and maintain Tableau dashboards, automated data feeds, and analytical models for audience segmentation, benchmarking, forecasting, and competitive trending.
End-to-End Execution: Lead analytics projects from conception to delivery, owning data quality, exploratory quantitative analysis, automated pipelines, and final executive presentation.
Cross-Functional Leadership: Collaborate across global and regional teams, including Marketing, Sales, Revenue Strategy, Data Science, and Data Engineering, to translate commercial needs into scalable technical requirements. 8+ years of professional experience in ad-tech research, marketing insights, and advanced analytics within a digital advertising platform, publisher, or agency. Deep domain expertise in the digital advertising ecosystem, performance marketing, and the mobile app economy (familiarity with key APAC markets strongly preferred).
Proven track record of partnering with 3rd-party research and app-intelligence vendors (e.g., Sensor Tower, Comscore, eMarketer) to extract insights and build scalable data products.
Hands-on experience leveraging LLMs and building AI-driven workflows or interfaces to process complex data, summarize insights, and scale go-to-market content.
Strong technical proficiency in SQL, Python (or R), and Tableau for exploratory data analysis, statistical modeling, and data visualization, alongside familiarity with modern cloud data architecture (ideally Snowflake data-shares and Amazon S3).
Self-starter and entrepreneurial project leader with a proven ability to navigate ambiguity, align senior stakeholders, and partner effectively with Data Science and Engineering teams.
Outstanding written, verbal, and Keynote storytelling skills, with a demonstrated ability to translate complex quantitative findings into clear, persuasive commercial narratives.
Bachelor’s degree in a quantitative or business field required; Postgraduate degree (MS or PhD) in economics, statistics, applied mathematics, data science, or a related discipline preferred.
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