SummaryPosted: Nov 21, 2024Role Number:200579625Apple’s Strategic Data Solutions (SDS) team leads efforts to mitigate monetary losses, optimize various business processes, and improve the customer journey across various programs. Our team applies data science and machine learning to drive strategic impact across multiple lines of business at Apple. We are looking for an outstanding analyst who is interested in working with SDS partners to understand analytics needs and develop solutions to support our Fraud Investigator organization, with a primary focus on Wallet. They will sit side-by-side with our machine learning engineers and data scientists to analyze complex business problems with various datasources, communicate relevant insights to decision-makers, and work with fraud investigation and SDS leaders to scope and execute on an analytics plan for their organization. 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 communication styles based on the audience.DescriptionDevelop dashboards using Tableau and other analytics tools to support decision making and performance management Support discovery of business problems and potential solutions Analyze and interoperate new sources of data Perform ad-hoc and reoccurring statistical analyses Work with data warehouse architects and software developers to generate seamless business intelligence solutions for business partners Share results of analyses through presentations, written summaries, and analytics toolsMinimum QualificationsBS / MS in associated field (math, statistics, engineering, computer science, analytics) OR BA / BS / MS in other field combined with relevant experience/trainingAt least 1-3 yrs experience working as a data/business analyst or related roleCompetence with SQL and big data systems and toolsData visualization experience using tools like TableauExperience applying analytical techniques to provide solutions to real business problemsAbility to tell meaningful and accurate stories with dataPreferred QualificationsFamiliarity with data science and modeling techniquesProgramming skills in PythonKnowledge of fraud investigation and associated challenges and opportunitiesKnowledge of financial fraud and customer behaviorExperience eliciting business requests, requirements, and metricsStrong interpersonal, verbal, and written communication skillsCreativity to go beyond current tools and processes to deliver the best solution to a problemInquisitiveness and a desire for continued self-improvement and development of new skillsComfort working independently and making key decisions on projectsApple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.