Analytics & Insights Lead, ASO Operations

Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do from amazing technology to industry-leading environmental efforts. At Apple inclusion is a shared responsibility and we work together to foster a culture where everyone belongs and is inspired to do their best on the Apple Store Online team we are responsible for Apples largest store. Our main goal is to deliver a magical personal digital experience where customers can shop buy and learn everything Apple wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store it takes extraordinary people and we are looking for someone to help us do extraordinary Apple Store Online Operations team is seeking an Analytics Lead to join our Workforce Strategy u0026 Analytics (WSA) group a role at the intersection of business strategy analytical rigor and technical this role you will serve as a trusted partner to operational leaders translating complex business challenges into clear metrics frameworks and data-driven insights that shape how Apples largest store performs plans and grows. You bring a rare blend of business acumen and technical depth: the ability to walk into a leadership review ask the right questions define the KPIs that drive accountability and build the infrastructure to answer them with confidence. If you believe great analytics starts with understanding the business first and that data only creates value when it drives real decisions this role was built for you.

In this role you will be the analytical backbone of ASO Operations partnering directly with business leaders to understand performance challenges define what success looks like and translate those needs into data solutions that drive meaningful operational decisions. You will own the end-to-end development and implementation of KPIs and metrics frameworks that align global teams on a single source of truth while building the scalable data infrastructure required to track surface and act on those metrics in real time. Your work connects business strategy to technical execution every insight you deliver and every framework you build is in direct service of a clear measurable business outcome.

Lead the end-to-end definition development and governance of operational KPIs and performance metrics for ASO Operations partnering with business stakeholders to understand priorities document methodology align global teams on consistent definitions and build reporting infrastructure that delivers reliable real-time visibility into business health and performance trends. nServe as the primary analytical partner to Operations Workforce Planning and senior leadership translating business objectives impacts and operational challenges into clear analytical requirements and scalable data solutions ensuring every technical implementation maps directly to a measurable business outcome that moves the organization forward. nConduct deep-dive quantitative analyses to surface performance trends anomalies root causes and forecasting signals that impact operational KPIs and deliver findings as clear actionable narratives and self-serve dashboards for both technical and executive audiences to drive continuous improvement across ASO Operations. nDefine data requirements and partner with Data Engineering to develop and maintain the data models reporting systems and underlying infrastructure that serve as the single source of truth for ASO Operations performance ensuring data is accurate timely and structured to support both day-to-day operational visibility and strategic long-range decision-making. nBuild and nurture trusted working relationships across a highly-matrixed organization proactively engaging cross-functional partners in Operations Finance Commercial and Programs teams to align on analytical priorities surface emerging business needs and ensure data solutions reflect the full complexity of the business. nChampion data quality consistency and self-serve enablement across the analytics ecosystem developing data dictionaries metric glossaries and governance standards that empower business partners to access understand and trust data independently reducing dependency on ad-hoc requests and fostering a culture of data-driven decision-making.

Bachelors degree in Analytics Business Intelligence Statistics Computer Science or a related field or 6 years of equivalent professional experience in analytics business intelligence or a strategy u0026 analytics role with demonstrated impact. nProven experience defining developing and implementing KPIs or operational metrics frameworks including aligning cross-functional stakeholders on definitions documenting calculation methodology and maintaining data consistency across teams and over time. nDemonstrated ability to engage directly with business stakeholders understand operational needs and business impacts and translate those needs into precise analytical requirements data models and reporting solutions that enable data-driven decision-making at all levels of the organization. nAdvanced SQL proficiency and experience with Python or equivalent scripting for data analysis and manipulation paired with the ability to translate complex findings into clear actionable insights for both technical and non-technical audiences including senior leadership. nProven ability to take initiative build trust and develop strong working relationships with cross-functional teams and business partners comfortable influencing decisions navigating a highly-matrixed organization and driving alignment across competing priorities without direct ability to approach ambiguous complex business problems with curiosity and structured problem-solving translating undefined challenges into clear analytical frameworks and actionable recommendations while remaining calm and adaptable under pressure.

Strong business acumen with the ability to quickly understand operational workflows workforce dynamics and financial drivers and translate that context into clear performance narratives for senior leadership including root cause analysis trend interpretation scenario modeling and forward-looking recommendations tied directly to operational KPIs and business goals. nFamiliarity with KPI and performance management frameworks such as OKRs or operational scorecards with hands-on experience building the data infrastructure required to track report and iterate against them in a consistent and scalable way. nFamiliarity with data engineering concepts and cloud-based data warehousing platforms such as Snowflake paired with experience incorporating AI tools and techniques into analytics workflows including AI-assisted platforms for insight generation anomaly detection forecasting or natural language querying and a curiosity for how emerging AI capabilities can accelerate data-driven decision-making across in workforce analytics digital operations or retail operations analytics with an understanding of how staffing volume efficiency and customer experience metrics interconnect to drive business performance. nExtraordinary organizational skills and the ability to manage multiple high-priority deliverables simultaneously comfortable maintaining quality and clarity of communication even as priorities shift in a dynamic fast-paced with data visualization and BI tools such as Tableau Looker or equivalent platforms with experience designing self-serve dashboards and automated reporting solutions tailored to both operational and executive audiences and a genuine interest in fostering a collaborative curious team culture where data access is democratized across the organization.