Talent Operations & Compensation Analyst

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.

Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.

 

The Talent Operations & Compensation Analyst is a senior individual contributor who owns the operational and analytical backbone of Filevine’s talent function. This role goes beyond coordination—it requires strategic thinking, data fluency, and the ability to synthesize compensation market data into actionable recommendations for leadership.

 

You will independently manage recruiting operations, compensation benchmarking, headcount planning support, and onboarding execution while serving as a critical partner to HR, Finance, and executive stakeholders. As Filevine scales, this role ensures hiring moves quickly and that our compensation programs remain competitive, fair, and well-understood across the organization.

• 4+ years of experience in recruiting operations, HR analytics, or a related field

• Demonstrated experience working with compensation data—benchmarking, band-building, or market analysis

• Strong analytical skills with the ability to work in Excel/Google Sheets and translate data into insights and recommendations

• Excellent written and verbal communication skills; able to present compensation findings clearly to non-technical stakeholders

• High attention to detail and commitment to data accuracy

• Familiarity with ATS systems (Lever strongly preferred) and HRIS platforms (Paylocity a plus)

• Experience with compensation survey tools or databases (Radford, Mercer, Levels.fyi, Glassdoor, or similar) preferred

• Tech or SaaS experience preferred

• Proactive, solutions-oriented mindset with strong judgment and a desire to grow in People Operations or Total Rewards