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Apple

Designs phones, computers and their operating systems

Senior Data Analyst - Marketing Insights and Analytics

Data AnalysisConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • At least 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 is preferred.
  • Experience partnering with third-party research and app-intelligence vendors to extract insights and build scalable data products.
  • Hands-on experience leveraging large language models 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.
  • Ability to navigate ambiguity, align senior stakeholders, and partner effectively with Data Science and Engineering teams.
  • Outstanding written, verbal, and Keynote storytelling skills, with the ability to translate complex quantitative findings into clear, persuasive commercial narratives.
  • A bachelor's degree in a quantitative or business field is required.

Responsibilities

  • Partner with APAC Marketing and Sales teams to deliver custom ad-tech research, market intelligence, and advanced analytics as executive Keynote narratives, talking points, and go-to-market materials.
  • Drive the evolution from traditional insights generation to large-language-model-based workflows by building AI-enabled tools and interfaces that synthesize complex data, automate summarization, and produce sales go-to-market materials at scale.
  • Partner with syndicated and custom measurement vendors to source competitive intelligence, integrate external data feeds, and scale third-party datasets into commercial data products.
  • Design, build, and maintain Tableau dashboards, automated data feeds, and analytical models for audience segmentation, benchmarking, forecasting, and competitive trending.
  • Lead analytics projects from conception to delivery, owning data quality, exploratory quantitative analysis, automated pipelines, and final executive presentations.
  • Collaborate across global and regional Marketing, Sales, Revenue Strategy, Data Science, and Data Engineering teams to translate commercial needs into scalable technical requirements.

Desired Qualifications

  • A postgraduate degree (MS or PhD) in economics, statistics, applied mathematics, data science, or a related discipline.

About the Company

Apple

Designs phones, computers and their operating systems

Apple designs and sells consumer electronics, from iPhone smartphones and Mac computers to tablets and wearable devices. Its operating systems manage apps and built-in functions for communication and work, while iCloud stores files and synchronizes data across devices. Customers buy additional digital services through subscriptions such as Apple Music and Apple TV, and developers distribute software through the App Store. Apple earns money from hardware sales, subscriptions and digital transactions, selling directly to customers and through retailers and mobile carriers around the world. It was founded in 1976 and has its headquarters in Cupertino, California.

Company size
10,001+
Company stage
IPO
Headquarters
Cupertino, CA
Founded
1976

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