Job Details

Role Number: 200650823-0836

Summary

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses.

Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.

Description

Core Insights partners closely with Product, Partner Development, Marketplace, and Leadership to answer three fundamental questions: How is the business performing? What changed, and why? What should we do next?
This role is business-first. You will own the health of key business metrics, investigate performance changes, and translate analysis into clear insights and recommended actions. Advanced analytics and machine learning may be used where appropriate, but success in this role is defined by judgment, clarity, and business impact rather than technical sophistication alone.

This role may be filled by candidates with varying levels of machine learning experience. All hires are expected to own business KPIs end to end, explain performance changes clearly, and influence decisions through insights. Some candidates will primarily focus on reporting, experimentation, and driver analysis, while others may apply machine learning to scale analysis or surface patterns. In all cases, success is defined by business impact.

As part of this team, you will:

• Own the health of core Apple Ads business KPIs and proactively investigate performance changes
• Perform deep-dives of key drivers , including baselines, seasonality, segmentation, and causal hypotheses
• Build and maintain clear, decision-oriented reporting and dashboards
• Apply statistical analysis and data science techniques to understand business performance, diagnose metric movement, and translate analytical findings into concrete recommendations for cross-functional partners
• Partner closely with Product, Partner Development, Marketplace, and Leadership to support business decisions
• Apply experimentation, statistical analysis, and machine learning where they meaningfully improve business understanding or outcomes

Minimum Qualifications

• Bachelor’s degree in Computer Science, Machine Learning or a related field, or related experience

• 5+ years of experience in Business Analytics, Data Science, or a related analytical role

• Strong SQL (Snowflake, AWS Athena or similar platforms) and Python skills (experience using libraries such as Pandas, SciPy, and scikit-learn) with demonstrated end-to-end analytics ownership

• Experience diagnosing metric movement through experimentation, lift analysis, or performance investigations

• Ability to explain analytical work clearly to non-technical audiences

• Experience partnering cross-functionally in ambiguous, fast-moving environments

Preferred Qualifications

• Experience working in digital advertising, marketplaces, or other performance-driven consumer businesses

• Familiarity with metrics related to auctions, pricing, supply and demand, or performance optimization

• Experience building and maintaining business-facing dashboards or recurring performance reporting

• Comfort influencing decisions without perfect data

• Experience applying machine learning to real-world business problems with clear downstream impact

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .