Quantitive Business Analyst - Strategic Data Solutions

Summary Posted: Oct 2, 2023 Weekly Hours: 40 Role Number: 200504829 Apple’s Strategic Data Solutions (SDS) team designs and implements data science and machine learning algorithms that drive strategic impact across Apple to mitigate fraud losses, optimize various business processes, and improve the customer journey across our programs. We are looking for an outstanding analyst who is interested in working closely with AppleCare partner teams; understanding their processes and analytic needs; and developing technical solutions along the way. They will sit side-by-side with our machine learning engineers and analyze complex business problems, have access to internal and external data sources, and be encouraged to communicate relevant insights to senior leadership and key decision-makers! The ideal candidate works well in collaborative environments with minimal formal structure and is comfortable in changing environments with competing priorities! They must possess solid business acumen, a strong quantitative / technical background, natural curiosity, and the ability to effectively shift between communications styles based on the audience (technical peer review through leadership update). Key Qualifications Key Qualifications At least 3-5 yrs experience working as a data/business analyst, auditor, or related role Advanced proficiency in Python, SQL, big data systems and tools Data visualization Experience applying analytical techniques to provide solutions to real business problems Experience eliciting business requirements and executive metrics Experience building cases and project plans Strong interpersonal skills with ability to connect and develop strong partnerships Strong verbal / written communication skills Creativity to go beyond current tools to deliver best solution to the problem Inquisitiveness and a desire for continued self-improvement and development of new skills Comfort working independently and making key decisions on projects Ability to tell meaningful and accurate stories with data and visualization Ability to bridge between ML engineering and business teams to answer questions related to significance of a data pattern, or identifying Background in Fraud Prevention or AppleCare Operations Description Description • Creativity to go beyond current tools to deliver best solution to the problem • Inquisitiveness and a desire for continued self-improvement and development of new skills • Comfort working independently and making key decisions on projects • Ability to tell meaningful and accurate stories with data and visualization • Ability to bridge between ML engineering and business teams to answer questions related to significance of a data pattern, or identifying • Background in Fraud Prevention or AppleCare Operations Education & Experience Education & Experience BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar) Additional Requirements Additional Requirements To learn more about opportunities at Apple, visit http://www.apple.com/jobs/us/ Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.