Quality Analyst, Data Solutions & Initiatives
Apple· Sales and Business Development
Hybrid (Austin, TX)full-timePosted 1mo ago
About the role
Quality Analyst (QA) to join the Data Solutions & Initiatives (DSI) team at Apple. Focused on validating the quality, reliability, and correctness of AI outputs in real production scenarios, including AI-powered and LLM-based features, with an emphasis on data quality for strategic initiatives and demand generation.
Responsibilities
- Deep dive into various financial and hierarchical data points in different sets of hierarchies, understanding the nuances of how complex data behaves
- Define and implement the test strategy based on functional requirements driven by the product manager
- Work closely with the product managers to define test plans that ensure data quality both on new development and regular data loads
- Drive test coverage across different source systems, transactional applications and reporting environments, taking into account new features and regression
- Execute test scenarios in a repeatable manner, allowing for easy data quality monitoring
- Coordinate release management and hold the final go / no-go in terms of data quality and functional behavior
- Act as first gate for production ops issues, confirm the behavior and makes the call on priority with product manager
- Report findings in a clear, structured, and actionable manner
- Collaborate with engineers to understand implementation logic
- Manage tickets on found data issues and work with the product manager to plan out bug fixes
- Communicating status updates to end users and stakeholders concisely in a timely manner
Qualifications
- At least 5+ years of relevant experience (e.g., QA, Quality Engineering, Data QA, or similar)
- Strong communicator with the ability to interpret technical concepts and data findings for non-technical end users
- Experience applying a data-driven QA approach, including data reconciliation or validation, in business-critical environments
- Experience with automated test framework design or test infrastructure beyond individual test case execution
- Hands-on experience with SQL and at least one analytics or reporting tool (e.g., Business Objects, Tableau, or similar)
- Ability to independently investigate and validate datasets
- Experience executing automated test cases using languages or frameworks such as Python, JavaScript, or Selenium
- Experience working in cross-functional teams using Agile frameworks such as Scrum or Kanban
- Familiarity with LLM-based or AI-powered systems, including hands-on experimentation or professional exposure
- Understanding of prompt-based systems and how changes to prompts or inputs affect outputs
- Experience using collaboration and tracking tools such as Jira, Confluence, Quip, or similar
- Strong problem-solving skills with attention to detail
- Self-motivated, proactive, and able to work independently or as part of a team
- Ability to learn quickly and adapt in a fast-paced environment
- Bachelor’s degree in Computer Science, Engineering, or Information Systems, or equivalent practical experience
- Experience validating backend APIs, data pipelines, or service-based systems
- Strong proficiency in SQL, including complex joins, aggregations, and large dataset validation
- Understanding of dimensional modeling and data warehousing concepts
- Experience testing data migration projects, including source-to-target validation
- Familiarity with CI/CD pipelines and how automated tests fit into release workflows
- Exposure to model behavior evaluation, such as hallucination detection, grounding checks, or consistency analysis
- Experience working with observability, logging, or monitoring for data or AI systems
- Domain experience in BI, financial, or hierarchical data systems
- Master’s degree preferred
Skills
Required:SQLAutomated testingPython/JavaScriptData analysisAgile
Last updated Sep 4, 2026. Interested? Apply on the company site.
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