Data Analyst

Overview

The Data Analyst will join the Knowledge & Innovation group and serve as a key contributor to the development and deployment of data and AI-driven solutions. This role focuses on applying analytics, machine learning, and large language models to deliver insights that support both legal teams and business functions. Working closely with cross-functional stakeholders and technology partners, the Data Analyst will help design and implement modern data solutions that improve efficiency, elevate internal client service, and support informed decision-making. This position offers the opportunity to help shape how advanced data and AI capabilities are adopted within a leading legal organization.

Key Responsibilities

• Partner with attorneys, practice teams, and business stakeholders to understand challenges and identify opportunities for data- and AI-enabled process improvements.
• Convert complex legal concepts and workflows into clearly defined data models and AI applications.
• Architect, develop, and support scalable data pipelines and analytics platforms that power reporting, business intelligence, and AI initiatives.
• Perform data analysis and modeling using tools such as SQL, Python, R, and related technologies to uncover trends and insights.
• Work alongside internal technology teams to enhance and maintain core data assets, including databases and data warehouses.
• Build processes and tools that transform raw data into accessible, intuitive datasets that support self-service reporting and analytics.
• Leverage advanced analytical techniques, including machine learning and natural language processing, to identify patterns, relationships, and predictive insights.
• Create and deploy analytical solutions for a range of use cases, including text analysis, forecasting, and trend analysis.
• Develop, test, and optimize prompts for large language models to support legal research, drafting, and knowledge management workflows.
• Deliver end-to-end data and AI solutions, from initial concept and prototyping through production implementation.
• Monitor emerging trends in data science and artificial intelligence, incorporating new methodologies and technologies where they add value.

Skills & Qualifications