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Learning Analytics Data Scientist, Employee Experience & Productivity, IS&T

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

About the role

Role focused on enriching data with business context to produce actionable insights for learning and development within Apple's IS&T organization. Build dashboards, perform analyses on training programs and knowledge resources, and partner with knowledge and training leaders to drive evidence-based decisions using SQL, Tableau, and AI-enabled analytics.

Responsibilities

  • Partner with knowledge and training leaders to understand their needs, translate business questions into data problems, and deliver recommendations grounded in evidence.
  • Extract, clean, transform, and validate data from multiple learning and content systems — including training platforms, content management systems, and web analytics — 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 training effectiveness and content performance 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 knowledge and training data sources, flagging issues proactively and working with data engineering to resolve them.

Qualifications

  • 3+ years of experience working with learning and development data, including training platforms, content performance metrics, or learner engagement 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:SQLTableauPython or RData visualization
Nice to have:AI in analytics

Benefits

  • Comprehensive medical and dental coverage, retirement benefits, and access to discounted products and free services.
  • Tuition reimbursement for certain educational expenses.
  • Discretionary bonuses or commission payments as well as relocation options.
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

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