Data Solutions Analyst (LegalTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Solutions Analyst (LegalTech): Supporting complex mass tort settlement programs by managing claims data, validating valuation methodologies, and providing technical guidance to clients. Focus on translating intricate legal requirements into accurate data solutions using SQL and Python to ensure high-stakes settlement outcomes.
Location: Must be based in or able to work onsite in Pittsburgh, PA
Salary: $80,000–$110,000 per year
Company
is an AI-powered platform that automates case analysis and settlement management for high-volume mass tort litigation.
What you will do
- Serve as a primary technical resource for settlement programs, managing eligibility criteria and claims data.
- Translate client inquiries into clear, data-driven answers using platform tooling and SQL/Python scripts.
- Perform quality assurance and troubleshoot data discrepancies to ensure accuracy in settlement outputs.
- Provide support for API capabilities and assist internal teams with settlement-specific data issues.
- Document recurring solutions to build institutional knowledge across the organization.
- Collaborate cross-functionally with engineering, product, and litigation management teams.
Requirements
- Must be based in or able to work onsite in Pittsburgh, PA.
- 1+ years of experience working with SQL data sources.
- Proficiency in Python or similar scripting languages for data validation.
- Advanced Excel skills for data analysis and reporting.
- Strong communication skills for explaining technical findings to non-technical stakeholders.
- Willingness to travel or work outside standard business hours during settlement deadlines.
Nice to have
- Experience in the legal industry.
Culture & Benefits
- Collaborative, high-ownership team environment.
- Focus on transparency and thoughtful problem-solving.
- Comprehensive benefits package including performance-based incentives.
- Opportunity to work on high-stakes, complex data problems in the legal sector.
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