Apple Ads - Senior Data Analyst, Marketing Insights and Analytics

Lex; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Apple is seeking a Sr. Data Analyst, Marketing Insights and Analytics, to drive actionable insights for APAC. You will collaborate with regional and global teams to transform data into scalable products and AI-powered workflows that inform marketing and sales execution.

The role emphasizes storytelling, cross-functional leadership, and building data-driven GTM materials, with a focus on ad-tech research and market intelligence across APAC markets.

Qualifications

• 8+ years of professional experience in ad-tech research, marketing insights, and advanced analytics.
• Experience partnering with vendors and building scalable data products.

Responsibilities

• Lead analytics projects from conception to delivery with strong data quality and governance.
• Design, build, and maintain Tableau dashboards, automated data feeds, and analytic models.
• Translate commercial needs into scalable technical requirements and present executive-level narratives.

Skills

Data analysis

Cross-functional collaboration

Storytelling

Education

Bachelor's degree in quantitative or business field

MS or PhD in economics, statistics, applied mathematics, data science, or related discipline preferred

Tools

SQL

Python

Tableau

Snowflake data-shares

Amazon S3

Job description

Summary

We are seeking a highly analytical and detail-oriented Sr. Data Analyst, Marketing Insights and Analytics to join our team. This role supports Apple Ads Marketing and Sales teams across the APAC region with actionable insights that drive strategic decisions and commercial impact. You will work closely with regional and global cross-functional teams to transform complex data into scalable data products, AI-powered workflows, and compelling narratives that shape marketing and sales execution.

Description

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.

Minimum Qualifications

• 8+ years of professional experience in ad-tech research, marketing insights, and advanced analytics within a digital advertising platform, publisher, or agency.

Preferred Qualifications

• 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. Apple provides reasonable accommodations to applicants with disabilities and in accordance with local requirements. Apple is a drug-free workplace.

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple's workplace

Role Number: 200693648-3278