JobsLegal Data Analyst, Applied Data Science
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Legal Data Analyst, Applied Data Science

Apple

Location

Austin, TX, Cupertino, CA

Type

Full-time

Posted

6/25/2026

Compensation

Not listed

Undergraduate with 5+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

The Legal Data Analyst role within the Applied Data Science team at Apple focuses on transforming complex legal data into actionable insights using AI tools. This position is essential for building the data foundation that supports AI and analytics for a global legal organization. The analyst will leverage AI for data profiling, anomaly detection, and insight generation while ensuring data readiness for analytics. The role combines analytical expertise with a deep understanding of legal operations to drive data-informed decisions.

Requirements

  • 4+ years of experience in data analysis, business intelligence, and analytics roles
  • Strong proficiency in SQL and Python, along with experience using analytical and data profiling tools
  • Experience using AI and LLM-based tools to accelerate analytical work
  • Experience with statistical analysis, trend analysis, and forecasting techniques
  • Experience working with enterprise data systems such as ERP, CRM, or matter management
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to communicate analytical findings to both technical and non-technical stakeholders
  • Experience with BI and visualization tools like Tableau or Power BI
  • Understanding of prompt engineering techniques for AI tools
  • Experience with predictive analytics and forecasting models
  • Familiarity with data governance frameworks and data stewardship models
  • Experience with data quality tools such as Great Expectations or Monte Carlo
  • Knowledge of entity resolution concepts and master data management
  • Understanding of how data quality impacts AI/ML model performance
  • Experience in a corporate legal department or professional services environment

Responsibilities

  • Leverage AI tools to accelerate data analysis and insights generation
  • Analyze legal operations data to uncover trends and perform spend and matter analysis
  • Build forecasting models and prepare data for AI consumption
  • Ensure data readiness for AI and analytics across Legal Operations
  • Communicate analytical findings and data quality insights to stakeholders
  • Integrate AI tools into daily analytical workflows for production use
  • Derive and define KPIs and other business impact metrics for leadership

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.

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