Knowledge & Innovation Analyst - Litigation

The Data Analyst will support the Data Science & AI Engineering team by developing analytics, reporting, and dashboard solutions that provide practice leadership, executive leadership, and business stakeholders with meaningful, real-time insights into firm operations, including profitability, staffing, pricing, pipeline activity, and the impact of AI-driven initiatives.  This role will work closely with cross-functional stakeholders to deliver data-driven analyses and actionable insights that support strategic decision-making, operational effectiveness, and continuous business improvement across the Firm. 

KEY RESPONSIBILITIES

Analytics and Dashboards

• Partner with practice leaders and firm leadership to identify business needs and translate them into scalable analytics solutions and reporting tools.
• Develop and maintain dashboards and reporting solutions that provide insight into matter performance, financial results, operational trends, and AI utilization metrics.
• Perform ad hoc analyses and deliver clear, actionable insights to support strategic and operational decision-making.
• Establish, maintain, and oversee key firm metrics, including data definitions, calculation methodologies, governance standards, and reporting integrity.

Data Foundations

• Collaborate with engineering teams to support and optimize underlying data models, integrations, transformations, and warehouse/lakehouse layer that power reporting and analytics solutions.
• Monitor and promote data quality and integrity by identifying inconsistencies, reporting gaps, and system issues, and partnering with appropriate teams to implement corrective solutions.
• Develop scalable and reusable analytics assets, including standardized data models, documented metrics, and extensible dashboards to support broader business and reporting needs.

Collaboration Across the Firm

• Collaborate with Data Scientists and MLOps / AI Engineering teams to intetegrate AI utilization and impact metrics into firmwide analytics and reporting solutions, including the incorporation of ML and LLM outputs into business-facing tools.
• Partner with the Knowledge Management and Innovation teams to ensure business unit data is accurately captured, structured, and leveraged to support meaningful dashboards and operational insights.
• Present analytical findings and recommendations in a clear, concise, and actionable manner to support informed business and strategic decision-making.

REQUIRED EDUCATION, KNOWLEDGE & EXPERIENCE

·       Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or related qualitative field, or equivalent experience in lieu of degree.  

·       3 to 7 years of analytics, business intelligence, or data science experience, ideally including time inside a professional services firm, financial services firm, or other complex, regulated environment.

·       Strong proficiency in SQL and experience with modern business intelligence and data visualization platforms, such as Power BI, Tableau, Looker, or ThoughtSpot.

·       Demonstrated ability to design and structure effective data models by transforming complex or unstructured data into scalable, efficient, and meaningful reporting solutions.

·       Working knowledge of Python or R to support advanced analysis, automation, and data manipulation beyond standard BI and SQL capabilities.

·       Excellent written, verbal, and visual communication skills, with the ability to present complex analytical findings clearly and effectively to executive and business audiences.

·       Strong analytical and critical-thinking skills, including the ability to validate data accuracy, identify inconsistencies, and apply sound judgment to reporting and analysis.

PREFERRED SKILLS & KNOWLEDGE

·       Experience working with modern data platforms and technologies, including dbt, Snowflake, BigQuery, Databricks, or similar environments

·       Familiarity with legal industry systems and data sources, including matter management, time and billing systems (e.g. Aderant, or 3E), document management systems, intake and conflicts platforms, and financial or pipeline reporting data.

·       Understanding of version control practices, analytics testing frameworks, CI processes, and data observability methodologies.

·       Exposure to AI and machine learning concepts, including the ability to support analytics and reporting related to AI utilization, adoption, and operational impact.

PHYSICAL REQUIREMENTS

·       Ability to sit and stand for extended periods.

·       Ability to lift up to 15 pounds.

The expected salary range for this position is $175,000 - $200,000.  Final compensation will be determined based on several factors, including but not limited to, relevant experience, qualifications, skill set, and geographic location. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the California Fair Chance Act.