Summary
Apple's Strategic Data Solutions (SDS) team leads efforts to mitigate monetary losses, optimize various business processes, and improve the customer journey across our online and retail stores. 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 closely with our Retail partner teams; understanding their processes and analytic needs; and developing technical solutions along the way. They will sit side-by-side with our data scientists and analyze complex business problems, have access to internal and external data sources, and be expected 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 with ambiguity and 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
At least 3 years experience working as a data/business analyst, auditor, or related role
Competent with SQL, big data systems and tools. Ability to do statistical analysis in any one of these languages: Python, R, Java, etc.
Experience applying analytical techniques to provide solutions to real business problems
Competent with Tableau
Experience providing business intelligence to drive better decision-making
Experience eliciting business requirements and executive metrics
Experience building executive level business cases and project plans
Strong interpersonal skills with ability to connect and develop strong partnerships
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 stories with data
Strong verbal / written communication skills
Any experience with Python is preferred
Any experience working in fraud (retail, payments, shipping, identity, etc.) is a bonus

Description
• Support discovery of business problems
• Manage program performance metrics
• Perform data discovery and create proof of concepts
• Perform ad-hoc and reoccurring statistical analyses
• Work with data warehouse architects and software developers to generate seamless business intelligence solutions for business partners
• Present results of analyses to business units and executive leadership

Education & Experience
• BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar) preferred

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