Learning Analytics Data Scientist, Employee Experience & Productivity

Apple Inc

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$144,600–$218,000 / yr
Posted
95 days ago
Freshness
Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $174k
This role $181k
$124k $236k
below market most similar roles pay here above market

This role pays more than 56% of similar roles. Most pay $134,375–$214,500 — the blue band above. At the midpoint, this role pays about $181k versus about $174k for comparable roles.

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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Learning Analytics Data Scientist, Employee Experience & Productivity

The Learning Analytics Data Scientist, Employee Experience & Productivity, IS&T joins the Employee Productivity & Support Data Science team to improve how the organization trains employees and delivers knowledge resources. This role involves pulling and preparing data from multiple systems, building dashboards, and conducting analyses to help learning and development leaders understand program effectiveness. You will write SQL to model large datasets, build and maintain Tableau dashboards, and use AI tools to accelerate insight generation. Key responsibilities include extracting and validating data from training platforms, content management systems, and web analytics to identify trends and anomalies. You will also use Python or R for data manipulation and maintain reproducible workflows in GitHub. The work focuses on interpreting learning and development data to inform content strategy and curriculum design.

What you'll do

  • Translate business questions from training leaders into actionable data problems and evidence-based recommendations.
  • Extract, clean, and validate data from multiple learning platforms and content management systems.
  • Build and maintain Tableau dashboards and reports to track training performance and engagement.
  • Conduct deep-dive analyses on training effectiveness and package findings into clear, audience-ready deliverables.
  • Use AI tools to accelerate insight generation, data classification, and analytical workflows.
  • Write clean SQL and maintain reproducible analytical workflows using GitHub for team collaboration.
  • Monitor data quality across sources and partner with data engineering to resolve issues.

What we're looking for

  • Bachelor's degree and 3+ years of experience in data analytics, business intelligence, data science, or a related quantitative field.
  • Master's degree in a quantitative or business discipline with 2+ years of relevant experience.
  • 3+ years of experience working with learning and development data, including training platforms and 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.
  • 3+ 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 multiple concurrent stakeholders.
  • Master's degree or PhD in a quantitative or business field (preferred).

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