Transform complex business questions into actionable insights by integrating and analyzing data from multiple enterprise systems and sources.
Design and deliver executive-level dashboards, reporting solutions, AI-driven analytics and conversational AI tools that provide a comprehensive view of business performance and strategic initiatives.
Identify trends, opportunities, and risks within large datasets, translating findings into recommendations that enhance operational efficiency, drive decisions, and financial performance.
Partner with cross-functional stakeholders early in the project lifecycle to define reporting, analytics, AI chat, and data requirements, ensuring measurement and visibility are embedded in solution design.
Deliver key performance indicators across Legal teams to drive data-informed decision-making and continuous improvement.
Collaborate with business and technology teams to improve data quality, AI and reporting capabilities, and analytics processes that enable scalable decision support.
Serve as a trusted advisor to stakeholders by leveraging data to influence business strategy, prioritize initiatives, and measure outcomes.
Lead or contribute to special projects and strategic initiatives that support evolving business objectives and organizational priorities.
Build and maintain scalable data pipelines that support reporting, analytics, and AI solutions.
Requirements
Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
7-10 years' experience with business intelligence tools
7-10 years' experience in reporting & analyzing performance & data visualization (Tableau; PowerBI)
7-10 years' experience in advanced analytics including SQL/ETL of complex datasets, quantitative analysis & research
2+ years' recent experience manipulating data and developing data interactions through AI tools such as MSFT Copilot, ChatGPT and/or Claude
Experience working with Legal teams a plus
Knowledge of Azure Data Services, Databricks, Data Governance, Data Modeling, Data Pipeline Development, A/B Testing, Ad Hoc Analysis, Business Acumen, Business Requirements Analysis, Competitive Analysis, Dashboard Development, Data Analysis, Data Visualization, Stakeholder Management, AI development.