Quality Analyst

The people here at Apple dont just create products they create 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. Our team produces the foundation tools and support that enable Corporate FPu0026A and Investor Relations to provide the financial insight that our executives need to keep Apple as the preeminent company in the world.n

As a Quality Analyst on the Corporate FPu0026A Data Analytics team youll safeguard the quality of the financial data and tools our FPu0026A and Investor Relations partners and executives depend on. Your day-to-day is rigorous data-quality testing across source systems data loads and reporting. As the team ships generative-AI features into those tools youll also judge how well the AI holds up in production looking past a simple pass/fail to whether the outputs can be trusted. Youll bring a solid foundation in quality assurance data analysis and system testing and apply that same rigor whether youre validating a data pipeline or a models output.n

Learn how Apples complex financial and hierarchical data behaves across hierarchies and source systems and let that shape the tests you the test strategy against the Product Managers functional requirements covering new development regular data loads and test coverage across source systems transactional applications and reporting environments with repeatable scenarios that make data-quality monitoring routine.n Validate how AI and LLM-based features behave in production judging outputs for accuracy grounding and consistency rather than a simple pass/ release readiness on data quality and functional behavior and give the go/no-go recommendation during release as the first line for data-quality issues: confirm the behavior set priority with the Product Manager and track each one through to a workaround or with engineers to understand the implementation logic behind what youre quality findings and release-readiness status to the project team and engineering clearly and on time.n

5 years in quality assurance or data validation in analytics BI or other data-heavy or MS in Engineering Computer Science or a related applying a data-driven QA approach including data reconciliation in business-critical -on experience with SQL and at least one analytics or reporting tool (e.g. Business Objects Tableau) with the ability to independently investigate and validate executing automated test cases with languages or frameworks such as Python JavaScript or experience testing or evaluating LLM-based or AI-powered systems.n

Advanced SQL including complex joins aggregations and large-dataset of dimensional modeling and data warehousing plus domain experience in BI financial or hierarchical data validating data pipelines backend APIs or service-based systems including data-migration and source-to-target to automated test-framework design or test infrastructure and how automated tests fit into CI/CD release designing structured evaluations of model behavior (hallucination detection grounding checks consistency analysis) and monitoring how prompt or input changes affect handling confidential market-sensitive financial data within security and data-governance quality findings into clear actionable updates for technical and business partners; fluent in Jira Confluence or -directed and detail-oriented comfortable owning quality without close oversight.n