Apples Strategic Data Solutions (SDS) team leads efforts to mitigate monetary losses, ensure financial crimes regulatory compliance, optimize various business processes, and improve the customer journey across our Wallet 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 closely with cross-functional and cross-organizational teams to understand client processes and analyze business needs, document and understand business requirements, conduct strategic assessments, track and develop analytics, and develop/implement technical solutions. This includes review of existing reports, existing metrics, and making recommendations to improve quality and efficiency. 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 in changing environments with competing priorities. They must possess solid business acumen, a strong technical background, natural curiosity, and the ability to effectively shift between communications styles based on the audience (technical peer review through leadership update).
This position is based in Austin, TX.

Support discovery of business problems
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
Present results of analyses to business units
Prepare documentation and analysis for audits and exams
Excellent communication skills both written and verbal.
Ability to facilitate meetings, collect minutes, gather action items, and drive tasks to completion.
Entity Relationship Diagram experience is a must.

Tagged as: Analytics, C++, Data, Excel, Machine Learning, R

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