Legal Data Analyst, Applied Data Science

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Are you passionate about turning complex legal data into actionable insights - and leveraging AI to do it faster and smarter?

Do you thrive on uncovering patterns, trends, and anomalies that others miss - using both traditional analytics and AI-powered techniques?

Can you bridge the gap between raw data, AI capabilities, and strategic decision-making?

The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. The Legal Data Analyst role is central to this mission - leveraging AI tools to accelerate analysis, preparing data for AI consumption, and surfacing insights that drive operational excellence.

Description

The Legal Data Analyst delivers analytical insights and ensures data readiness for AI and analytics across Legal Operations. You will leverage AI tools to accelerate your work, using AI for data profiling, anomaly detection, pattern recognition, and insight generation. You will analyze legal operations data to uncover trends, perform spend and matter analysis, build forecasting models, and prepare data for AI consumption. This role combines analytical rigor with AI fluency and deep understanding of legal operations to drive data-informed decisions.

Minimum Qualifications

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

Preferred Qualifications

Experience with legal operations data (matter management, eBilling, CLM, document management)

Demonstrated ability to integrate AI tools into daily analytical workflows - not just experimentation, but production use

Understanding of prompt engineering techniques to get better results from AI tools

Understanding of legal spend management, LEDES/UTBMS billing codes, and outside counsel metrics

Experience with predictive analytics and forecasting models

Familiarity with data governance frameworks and data stewardship models

Experience with data quality tools (Great Expectations, Monte Carlo, or similar)

Knowledge of entity resolution concepts and master data management

Understanding of how data quality impacts AI/ML model performance

Experience in corporate legal department or professional services environment