Marketing Insights Analyst, EMEA - Apple Ads

Apple

About The Position

Apple is seeking an experienced advertising insights professional to join its Global Marketing Insights & Analytics team and lead insights and media research projects for Apple Ads across EMEA. The role partners with Marketing and Sales to demonstrate the value of Apple’s advertising solutions, and works with a distributed team of data scientists, analysts, and researchers to develop analytical tools, data products, and research studies. The analyst supports Apple Ads Marketing and Sales with custom insights, ad tech research, and advanced analytics, delivering work through automated data products and Keynote narratives. The role also develops custom research and feeds using third-party custom and syndicated research, and partners with Field Marketing on account-based marketing initiatives and client presentations. The position leads business analytics projects from data quality and quantitative analysis through AI-enabled summarisation and executive-level presentation. It builds AI-enabled data products, Tableau dashboards, reports, and presentations, and advances the use of LLM-based tools to summarise content and data and scale go-to-market materials. The analyst collaborates across global and regional teams and with research and measurement vendors, while maintaining and improving insight-development processes.

Requirements

Extensive demonstrable experience in ad tech research, marketing insights, and advanced analytics within an advertising platform or agency.
Deep knowledge of the digital advertising industry, performance marketing, and the mobile app economy.
Significant experience in exploratory data analysis.
Familiarity with data warehousing, database modelling, and data-pipelining principles.
Experience leveraging LLM-based technologies and building AI-driven interfaces to process complex data, summarise insights, and produce go-to-market materials at scale.
Experience working with syndicated and custom third-party research vendors to extract insights and build scalable data products.
Ability to partner with Data Science and Engineering stakeholders to translate business needs into analytical requirements and data products.
Outstanding written, verbal, presentation, and Keynote storytelling skills, with the ability to communicate complex research results clearly and persuasively to varied stakeholders.
Self-starter and entrepreneurial project leader with expertise in cross-functional management, stakeholder alignment, and navigating ambiguity.
Deep understanding of the digital marketing landscape, including media buyers, ad tech companies, agencies, and resellers.
Ability to influence without authority, advocate for concepts internally, and drive decision-making across partners.
Passion for customer experience and ability to move between strategic ideas and details.
Ability to work through challenges in a fast-evolving industry as part of a globally distributed team.

Nice To Haves

Familiarity with Snowflake data-shares and Amazon S3.
Experience with research vendors such as Sensor Tower, GWI, Comscore, and Emarketer.

Responsibilities

Support Apple Ads Marketing and Sales with custom insights, ad tech research, and advanced analytics, delivered through automated data products and Keynote narratives.
Develop custom research and feeds using third-party custom and syndicated research, including ad-hoc dashboards and Keynote analyses that support the commercial development of Apple Ads.
Partner with Field Marketing on account-based marketing initiatives and co-develop bespoke client presentations using third-party research to identify strategic opportunities.
Lead projects and coordinate stakeholders across functions.
Build AI-enabled automated data products, Tableau dashboards, reports, and presentations.
Develop LLM-based interfaces and tools to summarise content and data and scale sales go-to-market materials.
Collaborate with global and regional Marketing, Sales, Revenue Strategy, Product & Insights, and Data Engineering teams.
Maintain and improve existing insights-development processes.
Work with third-party research and measurement vendors to identify strategic insight opportunities and scale them into commercial data products and actionable market and competitive intelligence.
Drive business analytics projects through data quality, quantitative analysis, automated AI summarisation, and presentation of executive-level deliverables.