Apple Ads - Senior Data Analyst, Marketing Insights and Analytics

Apple

2d

About The Position

The Senior Data Analyst, Marketing Insights and Analytics supports Apple Ads Marketing and Sales teams across the APAC region with actionable insights that drive strategic decisions and commercial impact. The role works 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.

The role partners with APAC Marketing and Sales to deliver ad-tech research, market intelligence, and advanced analytics through executive Keynote narratives, talking points, and go-to-market materials. It advances LLM-based insight workflows by building AI-enabled tools and interfaces that synthesize complex data, automate summarization, and produce sales materials at scale. It also works with syndicated and custom measurement vendors to source competitive intelligence, integrate external data feeds, and scale third-party datasets into commercial data products.

The analyst designs, builds, and maintains Tableau dashboards, automated data feeds, and analytical models for audience segmentation, benchmarking, forecasting, and competitive trending. The role leads analytics projects from conception through delivery, taking ownership of data quality, exploratory quantitative analysis, automated pipelines, and executive presentations. It collaborates with Marketing, Sales, Revenue Strategy, Data Science, and Data Engineering teams to translate commercial needs into scalable technical requirements.

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 knowledge of the digital advertising ecosystem, performance marketing, and the mobile app economy.
• Experience partnering with third-party research and app-intelligence vendors to extract insights and build scalable data products.
• Hands-on experience using LLMs and building AI-driven workflows or interfaces to process complex data, summarize insights, and scale go-to-market content.
• Proficiency in SQL, Python or R, and Tableau for exploratory data analysis, statistical modeling, and data visualization.
• Ability to work with modern cloud data architecture; Snowflake data shares and Amazon S3 are mentioned as examples.
• Ability to lead projects, navigate ambiguity, align senior stakeholders, and collaborate effectively with Data Science and Engineering teams.
• Strong written, verbal, and Keynote storytelling skills, with the ability to translate complex quantitative findings into clear, persuasive commercial narratives.
• Bachelor’s degree in a quantitative or business field.

Nice To Haves

• Familiarity with key APAC markets.
• Experience with Snowflake data shares and Amazon S3.
• Postgraduate degree (MS or PhD) in economics, statistics, applied mathematics, data science, or a related discipline.

Responsibilities

• Partner with APAC Marketing and Sales teams to deliver ad-tech research, market intelligence, and advanced analytics.
• Develop executive Keynote narratives, talking points, and go-to-market materials based on analytical insights.
• Build AI-enabled tools and LLM-based workflows to synthesize complex data, automate summarization, and scale sales go-to-market materials.
• Partner with syndicated and custom measurement vendors to source competitive intelligence and integrate external data feeds.
• 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, including data quality, exploratory quantitative analysis, automated pipelines, and executive presentations.
• Collaborate with global and regional Marketing, Sales, Revenue Strategy, Data Science, and Data Engineering teams to turn commercial needs into scalable technical requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior