Legal & Business Operations Data Analyst
Company: Kahana & Feld LLP
Location: Los Angeles, CA 90071
Salary: $90,000 - $130,000 a year
Type: Full-time
Level: mid
Posted: 2026-02-13
About this role
The Legal & Business Operations Data Analyst supports the firm’s leadership and administrative departments by collecting, organizing, and analyzing data across multiple systems to drive strategic and operational initiatives.
Duties and Responsibilities
*Data Analysis & Reporting*
- Serve as the firm’s primary owner of data analytics, including reporting standards, dashboard architecture, and KPI definitions across legal and administrative departments.
- Partner directly with firm leadership and department heads to translate business questions into analytical frameworks, metrics, and dashboards.
- Proactively identify insights and performance indicators leadership may not explicitly request, and recommend new analyses to support strategic decisions.
- Pull, organize, and analyze data from the firm’s finances, timekeeping, and billing systems to identify trends, support decision-making, and improve operational performance.
- Provide strategic reporting and insight on realization, effective rates, client profitability, practice group performance, and attorney productivity to support leadership decision-making
- Develop executive-level dashboards highlighting key operational drivers, including utilization, leverage, margin, and working capital performance
- Identify trends and risks in billing realization, collections, WIP, and aged receivables, and recommend data-driven improvements
- Deliver profitability analysis by client, matter, practice group, and timekeeper to inform pricing, staffing, and growth strategies
- Translate operational data into actionable insights to improve revenue capture, efficiency, and overall firm performance
- Run regular weekly and monthly reports to support business goals across operations, client service, and client relations.
- Provide firm leadership with insights and visual analyses derived from structured and unstructured data sources.
*Technical*
- Design and maintain automated data pipelines using PowerBi, Power Apps...