Legal Data Analyst, Applied Data Science

Benefits

• Base pay range: $175,500 - $263,800 per year
• Discretionary employee stock programs
• Discretionary restricted stock unit (RSU) awards
• Employee Stock Purchase Plan
• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Educational expense reimbursement (including tuition)
• Discretionary bonuses or commission payments
• Relocation

Onsite in Austin, TX, this role contributes to Apple's Legal Operations within the Applied Data Science team by delivering analytical insights and ensuring data readiness for AI and analytics. You will leverage AI tools for data profiling, anomaly detection, pattern recognition, and insight generation to inform decision-making across matters, spend, contracts, and vendors, and to build forecasting and resource utilization models.

Responsibilities

• Leverage AI tools and techniques to accelerate data analysis, automate repetitive tasks, and surface insights at scale
• Apply AI assisted data profiling, anomaly detection, and pattern recognition to identify data quality issues and trends more rapidly
• Analyze legal operations data to surface trends, patterns, and actionable insights across matters, spend, contracts, and vendors
• Develop spend analytics, matter forecasting, and resource utilization models that inform strategic decisions using AI to enhance predictive capabilities
• Profile and assess data quality across legal systems including matter management, contract management, eBilling, and document management
• Cleanse, standardize, and enrich data to meet quality thresholds required for AI and analytics consumption
• Validate entity data (law firms, timekeepers, vendors, counterparties) to support entity resolution initiatives
• Build analytical models that support rate negotiations, vendor performance evaluation, and outside counsel management
• Collaborate with AI/ML Engineers to identify opportunities where AI can automate or augment analytical workflows
• Document data lineage, business rules, and transformation logic
• Partner with Data Stewards across practice groups to enforce data quality at the source
• Develop and maintain analytical dashboards, data quality reports, and monitoring tools
• Translate analytical findings into clear recommendations for practice group and leadership audiences

Requirements

• 4+ years of experience in data analysis, business intelligence, and analytics roles
• Strong proficiency in SQL, Python, and experience with 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 (ERP, CRM, matter management, or similar)
• Strong analytical and problem solving skills with attention to detail
• Ability to communicate analytical findings and data quality insights to technical and non-technical stakeholders
• Experience building in and presenting with BI and visualization tools (Tableau, Power BI, or similar)
• Deriving and defining KPIs and other business impact metrics for leadership

Technologies

• SQL
• Python
• Tableau
• Power BI
• Great Expectations
• Monte Carlo
• ERP
• CRM
• AI tools
• LLM-based tools