Product Data Analyst, 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: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k

This role $181k

$118k $229k

below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $129,112–$214,900 — the blue band above. At the midpoint, this role pays about $181k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

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 · Product Data Analyst, Employee Experience & Productivity

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JOB TITLE: Product Data Analyst, Employee Experience & Productivity, IS&T Joining the Employee Productivity & Support Data Science team within the Information Systems and Technology organization, you will enrich data with business context to drive intelligent decisions. You will support the Product group by building and maintaining analytical assets, including dashboards, reports, and ad-hoc analyses that track how internal productivity tools perform across the portfolio. Your daily work involves writing SQL to model large datasets, building Tableau visualizations, and conducting deep-dive analyses on feature adoption and engagement. You will partner with product leaders to translate business questions into data problems, using Python, R, and AI tools to accelerate insight generation. This role solves the challenge of interpreting complex internal platform usage to improve employee experience and inform roadmap prioritization.

Skills

SQL Tableau Python R GitHub Looker AI Clickstream Data A/B Testing Statistical Modeling Regression Causal Inference Version Control

What you'll do

Translate business questions from product leaders into actionable data problems and evidence-based recommendations.
Extract, clean, transform, and validate data from multiple product and platform systems to create reliable datasets.
Build and maintain Tableau dashboards and reports to monitor trends, surface anomalies, and communicate insights.
Conduct deep-dive analyses on product usage and adoption to create audience-ready deliverables like slides or visualizations.
Use AI tools to accelerate insight generation, data classification, and the overall speed of analytical work.
Write clean SQL and organize code in GitHub to develop well-documented, reproducible analytical workflows.
Monitor data quality across sources and proactively work with data engineering to resolve issues.

What we're looking for

Bachelor's degree and 3+ years of relevant 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 product analytics data, including feature adoption, user engagement, or platform utilization metrics.
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.
Master's degree or PhD in a quantitative or business field (preferred).