Analytics Lead, ASO Operations Data
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s 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 work.
Here on the Apple Store Online team, we are responsible for Apple’s 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 things.
The Apple Store Online Operations team is seeking an Analytics Lead to join our Workforce Strategy & Analytics (WSA) group. We are looking for a highly skilled, data-driven professional with strong technical expertise in data architecture, data pipelines, and data governance. The ideal candidate will have a proven track record of designing and optimizing data systems that enable high-quality, scalable analytics to drive operational efficiency and continuous improvement. Join our team and help shape how data is utilized across the organization to optimize processes, improve performance, and foster a culture of data-driven decision-making.
In this role, you will leverage your expertise in data manipulation, ETL processes, and data integration to build a unified data foundation, serving as the single source of truth for ASO Operations business performance and operational metrics. You will collaborate closely with cross-functional teams to design, implement, and maintain robust data pipelines, ensuring the data is clean, scalable, and easily accessible for actionable decision-making. Additionally, you will play a critical role in developing and automating reporting systems that provide stakeholders with timely, accurate insights, enabling data-driven business outcomes and operational improvements.
Responsibilities:
Define and standardize operational metrics for ASO Operations, ensuring data consistency and alignment across global teams, and building data pipelines that provide reliable, real-time visibility into key performance indicators (KPIs).
Design, build, and maintain scalable data pipelines to integrate new datasets from evolving business processes, working closely with cross-functional teams to ensure data flow is optimized for performance, reliability, and accessibility.
Develop and implement data strategies to enhance data infrastructure, ensuring the seamless integration of structured and unstructured data sources for comprehensive analysis and decision-making.
Perform quantitative analyses to identify data trends, correlations, forecasting patterns, and anomalies impacting KPIs. Collaborate with teams to ensure actionable insights, forecasts, and plans are derived from clean, integrated data that drive continuous optimization of ASO Operations.
- Bachelor’s degree in Computer Science or a technical degree, or 6+ years of relevant professional experience.
- Experience with data engineering tools and technologies, including expertise in SQL (for data querying), Python (for ETL processes and data manipulation), and data pipeline frameworks.
- Experience in designing, building, and maintaining data pipelines for data integration and data warehousing, ensuring high-quality, scalable, and reliable data flow across systems.
- Excellent communication skills, with the ability to collaborate with cross-functional teams and translate complex data processes and systems into clear, actionable insights for technical and non-technical stakeholders.
- Experience with data governance and implementing data quality frameworks, ensuring accurate and consistent data across the organization.
- Familiarity with data modeling, ETL frameworks, and automation tools to manage large-scale data systems efficiently.
- Knowledge and experience with data storage solutions such as relational databases (e.g. MySQL, PostgreSQL), NoSQL databases (e.g. MongoDB, Cassandra), and cloud-based data warehouses (e.g. Snowflake, Amazon Redshift).
- Experience in using data engineering techniques to support workforce or operations planning, including developing data models and pipelines for operational insights and decision-making.
- Strong understanding of business operations, with the ability to leverage advanced analytics to answer complex business management questions and identify root causes, driving informed, data-driven decisions and forecasts.
Apple 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.