At Apple, we work every day to create products that enrich people's lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power advertising in Apple News and Search Ads in the App Store. Our platforms deliver strong results for advertisers, are deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.As a member of the Product Strategy Insights team, the product intelligence analyst will be a foundational member of the team working cross functionally in order to effectively support our product management organization. This is a highly impactful and autonomous role where the insights provided will directly impact the product strategy roadmap.
5+ Years of relevant professional work experience in analytics, data engineering, business intelligence or related field with global operations
Experience gathering business requirements, using industry business intelligence tools to extract data, formulate metrics and build reports.Experience using advanced SQL
Design and develop metrics, reports, analysis and dashboard with key business and product dimensions and product decisions to improve performance.Conduct deep-dive data analysis for business insights and recommendations.Collaborate with product managers and engineers to implement the data architecture and design.Data automation through identifying, building and maintaining scalable processes.Combine knowledge of statistical methodology and analysis with programs skills to support complex analyses.Develop data marts and warehouse structures based off your detailed knowledge of data warehouse technical architecture, infrastructure, components, ETL and reporting/analytic tools and environments.Lead individual development efforts through detailed understanding of the software development lifecycle and /or agile development environment with emphasis on BI practices.Gain a solid understanding of source data, its strengths, weaknesses, semantics, and formats; to develop logical and physical data modeling concepts (relational and dimensional).
Bachelors degree in Computer Science, Mathematics, Statistics, Finance or related technical field.