Business Insights Analyst, Apple Store Online Operations

In this role, you will play a key role in the analytical foundation of ASO Operations — supporting business partners in understanding performance challenges, contributing to metrics frameworks that drive accountability, and translating data into clear, actionable insights. You will work alongside experienced analytics and data engineering teammates to develop and maintain the KPIs, dashboards, and reporting infrastructure that keep operational teams aligned and informed. Your work will connect day-to-day data to real business outcomes — and every analysis you deliver will be in direct service of helping Apple's largest store perform at its best. Bachelor's degree in business, finance, operations, engineering, information systems, or a related field 5+ years of equivalent professional experience in analytics, business planning, or a strategy & operations role with demonstrated impact. Strong business acumen and quantitative depth — able to connect data to operational outcomes through structured problem solving, scenario modeling, and sensitivity analysis, while translating findings into clear narratives that drive decision-making and continuous improvement. Experience contributing to KPI and metrics development — including engaging business partners to understand operational needs, document definitions, validate calculation logic, and translate requirements into analytical solutions that support data-driven decision-making. Strong SQL proficiency and working experience with Python or equivalent scripting for data analysis and manipulation — paired with the ability to communicate findings clearly to both technical and non-technical audiences. Proven ability to take initiative, build trust, and develop strong working relationships across teams — comfortable navigating a matrixed organization and contributing to shared goals without direct authority. Demonstrated ability to approach ambiguous problems with curiosity and structure — breaking down complex challenges into clear analytical questions and delivering well-reasoned, actionable recommendations. Familiarity with KPI and performance management frameworks such as OKRs or operational scorecards, and an interest in how data infrastructure supports tracking and accountability at scale. Familiarity with cloud-based data warehousing platforms such as Snowflake, and an interest in how AI tools and techniques — including anomaly detection, forecasting, or natural language querying — can enhance analytics workflows and accelerate decision-making. Background in workforce analytics, digital operations, or retail operations — with an understanding of how staffing, volume, efficiency, and customer experience metrics work together to shape business performance. Strong organizational skills with the ability to manage multiple deliverables simultaneously — maintaining attention to detail and clear communication even as priorities shift in a fast-paced environment. Experience with data visualization and BI tools such as Tableau, Looker, or equivalent platforms — with an interest in designing dashboards and reporting solutions that make data accessible and actionable for a broad audience.