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Support Operations Data Analyst, Employee Experience & Productivity, IS&T

Apple· Software and Services / IS&T (Employee Productivity & Support Data Science)
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Sunnyvale, CA$144.6k - $218kFull-timePosted 3d ago

About the role

Role focused on enriching data with business context to produce insights for IT support leaders. Responsible for pulling and preparing data from multiple systems, building dashboards, performing analyses, and partnering with stakeholders to drive better operational decisions within Apple's IS&T Support organization.

Responsibilities

  • Partner with support leaders and operational managers to understand their needs, translate business questions into data problems, and deliver recommendations grounded in evidence.
  • Extract, clean, transform, and validate data from multiple support systems — including ticketing platforms, contact center tools, and AI interaction logs — creating reliable datasets for analysis and visualization.
  • Build and maintain dashboards and reports in Tableau, and actively consume those assets to identify trends, surface anomalies, and communicate insights back to stakeholders.
  • Conduct deep-dive analyses on support operations data to answer questions that existing dashboards do not address — packaging findings into clear, audience-ready deliverables such as slides or annotated visualizations.
  • Use AI to accelerate insight generation — summarizing patterns, classifying data, and enhancing the speed and depth of analytical work — while validating outputs to ensure accuracy and reliability.
  • Develop and maintain well-documented, reproducible analytical workflows — writing clean SQL, organizing code in GitHub, and ensuring that analyses can be understood and extended by others on the team.
  • Monitor data quality across support data sources, flagging issues proactively and working with data engineering to resolve them.

Qualifications

  • 3+ years of experience working with IT support data, including ticketing systems, contact center platforms, or multi-channel interaction data.
  • 3+ years of hands-on experience writing SQL to extract, transform, and analyze data from large, multi-source datasets.
  • 3+ years of experience building dashboards and visualizations in Tableau, Looker, or equivalent.
  • 1+ years of experience in Python or R for data manipulation and analysis.
  • 3+ years of experience delivering analytical work in a fast-paced environment with evolving priorities and multiple concurrent stakeholders.
  • Bachelor's degree and 3+ years of relevant experience in data analytics, business intelligence, data science, or a related quantitative field — or a Master's degree in a quantitative or business discipline with 2+ years of relevant experience.

Skills

Required:SQLData Visualization (Tableau, Looker, or equivalent)Python or RData Quality & ETL

Benefits

  • Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses — including tuition.
  • Discretionary bonuses or commission payments and relocation may be eligible.
  • Apple shareholder opportunities via discretionary employee stock programs (RSUs and Employee Stock Purchase Plan).
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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