Quality Analyst, Data Solutions & Initiatives

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 are looking for a world-class Quality Analyst (QA) to join the Data Solutions u0026 Initiatives (DSI) team. This is a unique opportunity to help the growth of one of Apples global initiatives and contribute to launching ground-breaking new features in support of Apples demand generation this position the individual will need a strong foundation in quality assurance data analysis and system testing with the ability to evaluate and support AI-powered and LLM-based features. This role is focused on validating the quality reliability and correctness of AI outputs in real production scenarios not just traditional pass/fail you an individual who possesses the right mix of technical and data analysis skills to successfully assure data quality for strategic initiatives in a fast-paced environment Come join our team!

Your responsibilities will include:nn- Deep dive into various financial and hierarchical data points in different sets of hierarchies understanding the nuances of how complex data behavesn- Define and implement the test strategy based on functional requirements driven by the product managern- Work closely with the product managers to define test plans that ensure data quality both on new development and regular data loadsn- Drive test coverage across different source systems transactional applications and reporting environments taking into account new features and regressionn- Execute test scenarios in a repeatable manner allowing for easy data quality monitoringn- Coordinate release management and hold the final go / no-go in terms of data quality and functional behaviorn- Act as first gate for production ops issues confirm the behavior and makes the call on priority with product managern- Report findings in a clear structured and actionable mannern- Collaborate with engineers to understand implementation logicn- Manage tickets on found data issues and work with the product manager to plan out bug fixesn- Communicating status updates to end users and stakeholders concisely in a timely manner

At least 5 years of relevant experience (e.g. QA Quality Engineering Data QA or similar)nStrong communicator with the ability to interpret technical concepts and data findings for non-technical end usersnExperience applying a data-driven QA approach including data reconciliation or validation in business-critical environmentsnExperience with automated test framework design or test infrastructure beyond individual test case executionnHands-on experience with SQL and at least one analytics or reporting tool (e.g. Business Objects Tableau or similar) with the ability to independently investigate and validate datasetsnExperience executing automated test cases using languages or frameworks such as Python JavaScript or SeleniumnExperience working in cross-functional teams using Agile frameworks such as Scrum or KanbannFamiliarity with LLM-based or AI-powered systems including hands-on experimentation or professional exposurenUnderstanding of prompt-based systems and how changes to prompts or inputs affect outputsnExperience using collaboration and tracking tools such as Jira Confluence Quip or similarnStrong problem-solving skills with attention to detailnSelf-motivated proactive and able to work independently or as part of a teamnAbility to learn quickly and adapt in a fast-paced environmentnBachelors degree in Computer Science Engineering or Information Systems or equivalent practical experience

Experience validating backend APIs data pipelines or service-based systemsnStrong proficiency in SQL including complex joins aggregations and large dataset validationnUnderstanding of dimensional modeling and data warehousing conceptsnExperience testing data migration projects including source-to-target validationnFamiliarity with CI/CD pipelines and how automated tests fit into release workflowsnExposure to model behavior evaluation such as hallucination detection grounding checks or consistency analysisnExperience working with observability logging or monitoring for data or AI systemsnDomain experience in BI financial or hierarchical data systemsnMasters degree preferred