Quality Analyst, Data Solutions & Initiatives

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
13 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $152k
$107k most similar roles pay here $187k

This listing doesn't post a salary. Most similar roles pay $123,625–$179,406.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Quality Analyst, Data Solutions & Initiatives

The Quality Analyst, Data Solutions & Initiatives joins the Data Solutions & Initiatives team to support demand generation strategies by validating the quality and reliability of AI-powered and LLM-based features in production environments. This role involves performing deep dives into complex financial and hierarchical data points, defining test strategies based on functional requirements, and managing test coverage across various source systems and reporting environments. The candidate will execute repeatable test scenarios, coordinate release management, and collaborate with engineers to resolve bugs. Essential skills include proficiency in SQL, analytics tools like Tableau or Business Objects, and automated testing using Python, JavaScript, or Selenium. The role requires experience with data reconciliation, prompt-based systems, and hallucination detection within the context of business-critical financial data systems and large-scale data migration projects.

What you'll do

  • Analyze complex financial and hierarchical data points to understand behavior across various datasets.
  • Define and implement test strategies based on functional requirements provided by product managers.
  • Validate the quality, reliability, and correctness of AI-powered and LLM-based features in production.
  • Execute repeatable test scenarios to enable consistent monitoring of data quality.
  • Manage release cycles by making final go/no-go decisions regarding data quality and functionality.
  • Act as the first gate for production issues by confirming behavior and determining priority.
  • Track and manage tickets for identified data issues while coordinating bug fixes with product managers.
  • Report technical findings in a structured, actionable manner to both technical and non-technical stakeholders.

What we're looking for

  • At least 5 years of relevant experience in QA, Quality Engineering, Data QA, or similar roles.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • Experience with a data-driven QA approach including data reconciliation and validation in business-critical environments.
  • Hands-on experience with SQL and at least one analytics or reporting tool like Tableau or Business Objects.
  • Experience executing automated test cases using Python, JavaScript, or Selenium.
  • Familiarity with LLM-based or AI-powered systems and prompt-based system behavior.
  • Experience working in cross-functional teams using Agile frameworks such as Scrum or Kanban.
  • Ability to communicate technical concepts and data findings clearly to non-technical stakeholders.

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