Senior Data Analyst, Marketing Insights & AI Analytics

Apple, Inc.

Singapore

On-site

SGD 120,000 - 180,000

Full time

16 hours ago
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Job summary

Apple Inc. in Singapore is seeking a Senior Data Analyst in Marketing Insights and Analytics to deliver actionable insights for Apple Ads across APAC.

You will partner with Marketing, Sales, Data Science, and Engineering to build AI-enabled data products, dashboards, and narratives that drive strategic decisions and commercial impact. The role emphasizes data storytelling, advanced analytics, and end-to-end execution from data to executive-ready materials, with a strong focus on collaboration

Qualifications

  • 8+ years of ad-tech research and analytics experience.
  • Experience partnering with 3rd-party research and app-intelligence vendors (e.g., Sensor Tower, Comscore, eMarketer).
  • Hands-on with LLMs and AI-driven workflows to process data and generate insights.
  • Strong storytelling and ability to translate complex findings for executives.

Responsibilities

  • Lead analytics projects from conception to delivery, ensuring data quality and reproducibility.
  • Design and maintain dashboards, models, and automated pipelines to support marketing and sales decisions.
  • Collaborate with cross-functional teams (Marketing, Revenue, Data Science, Data Engineering) to define requirements.
  • Translate commercial needs into scalable technical solutions and data products.
  • Present findings and strategic recommendations to senior stakeholders.

Skills

SQL
Python
R
Tableau

Education

Bachelor’s degree in a quantitative or business field
MS/PhD in economics, statistics, data science, or related discipline

Tools

Tableau
Snowflake
Amazon S3

Job description

Apple Inc. in Singapore is seeking a Senior Data Analyst in Marketing Insights and Analytics to deliver actionable insights for Apple Ads across APAC.

You will partner with Marketing, Sales, Data Science, and Engineering to build AI-enabled data products, dashboards, and narratives that drive strategic decisions and commercial impact. The role emphasizes data storytelling, advanced analytics, and end-to-end execution from data to executive-ready materials, with a strong focus on collaboration

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