About this role
This role involves significant interaction with groups across Apple Ads, including: Business operations, policy, product, engineering and privacy teams. The be comfortable handling large data sets, modeling, analysis, written presentations, and will wield a strong understanding of market trends and competitive platforms. They are strong at research and a critical thinker with a creative eye to spot trends and interpret data. Experience in policy enforcement or digital fraud mitigation is ideal.
Experience delivering data-driven insights.
Strong research skills and the ability to evaluate competitive platforms and markets.
Practical experience using LLM-based tools for research, writing or data analysis in a professional or academic setting.
Curiosity about how AI/agentic tools can be applied to policy, compliance, or fraud workflows, with a willingness to learn.
Ability to do data mining to investigate policy/fraud activities.
High attention to detail, organisation, team-orientation, and able to work under tight deadlines.
Querying, modelling, slide preparation, and delivery.
Excellent verbal, visual, and written communication skills.
Extensive, demonstrable quantitative experience.
SQL querying proficiency. An academic qualification in Computer Science or quantitative equivalent or some academic experience with statistics is beneficial.
Mastery of Keynote and Excel/Numbers.
Inquisitive with an ability to navigate ambiguity as it pertains to policy and regulations.
You have the ability to distil new information and make decisions based on multiple factors and options available.
You take initiative, are self-directed, solution-oriented and keen to share knowledge with others.
Description from Apple's public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.
