Senior Legal BI & Analytics Lead

Morrison Foerster; Seattle (WA); Hybrid; USD 156,000 - 218,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Parental leave

Wellness program

Education reimbursement

Talent development

Profit-sharing

Job summary

Morrison Foerster, in Seattle, seeks a Senior Legal Business Intelligence Analyst to design and implement data analytics for legal matters and client initiatives. You will collaborate with attorneys, eDiscovery professionals, and stakeholders to translate requirements into scalable workflows.

Responsibilities include building dashboards, optimizing data models, and enabling AI-assisted analytics while aligning with firm governance and security standards.

Qualifications

• Bachelor's degree required, preferably in a quantitative field.
• 4+ years of progressive experience in BI, data analytics, data engineering, or legal operations analytics.
• Experience designing and deploying enterprise BI solutions for data-intensive functions.
• Ability to translate open-ended requirements from non-technical stakeholders into analytical solutions.

Responsibilities

• Design, develop, and maintain dashboards, reports, and scorecards for legal, financial, operational, and matter data.
• Analyze large datasets and perform ad hoc analyses for clients, attorneys, and leadership.
• Develop KPIs, metrics, and reporting conventions; standardize visual templates.
• Develop self-service analytics that consolidate data and dashboards for stakeholders.
• Replace manual reporting with automated solutions and measure impact.

Skills

SQL proficiency

BI platforms

ETL/ELT

Python/R

Data governance

Education

Bachelor's degree

Tools

SQL

Job description

Morrison Foerster, in Seattle, seeks a Senior Legal Business Intelligence Analyst to design and implement data analytics for legal matters and client initiatives. You will collaborate with attorneys, eDiscovery professionals, and stakeholders to translate requirements into scalable workflows.

Responsibilities include building dashboards, optimizing data models, and enabling AI-assisted analytics while aligning with firm governance and security standards.