Litigation Data Analyst – Mass Tort, Product Liability
Location
California + 10 moreAll locations: California | Colorado | District Of Columbia | Illinois | New Jersey | New York | Maryland | Massachusetts | Minnesota | Vermont | Washington
Posted
1 day ago
Salary
$102K - $218K / year
Seniority
Senior
Job Description
Litigation Data Analyst – Mass Tort, Product Liability
Husch Blackwell
• The Litigation Data Analyst – Mass Tort & Product Liability serves as a strategic insights partner to our premier mass tort and product liability practice. • This position will leverage data analytics to guide litigation strategy, predict case outcomes, and optimize financial performance across complex multi-plaintiff litigation portfolios. • Analyze historical verdict data, settlement patterns, and case characteristics to develop predictive models for case valuation and outcome probability • Build comprehensive databases of comparable verdicts, settlements, and judicial decisions to support case strategy and client counseling • Develop statistical models to assess likelihood of settlement versus trial outcomes based on case factors, jurisdiction, and opposing counsel profiles • Create financial modeling frameworks to project settlement ranges, trial outcomes, and expected case values across different scenarios • Monitor and analyze mass tort inventory performance, identifying trends in case development, settlement velocity, and financial outcomes • Collaborate with litigation teams to understand case development challenges and translate them into analytical problems • Structure complex litigation problems into clear analytical tasks, supporting strategic decision-making on case selection, resource allocation, and settlement timing • Prioritize analyses based on case value, urgency, and strategic importance to the practice • Design and build automated dashboards tracking key litigation metrics including case inventory, settlement rates, average case values, and practice profitability • Create executive-level reports on practice performance, including revenue forecasts, cost analysis, and profit margins by case type and jurisdiction • Streamline existing case reporting processes to ensure timely and accurate delivery of key performance indicators • Present findings and recommendations in clear, concise manner tailored to different audiences (partners, associates, clients, experts) • Clean, manipulate, and analyze large litigation datasets to extract trends, patterns, and actionable insights • Use statistical and data modeling techniques to support litigation strategy and business development decisions • Connect analytical findings to litigation strategy, financial outcomes, and client impact • Partner with attorneys, paralegals, case managers, and finance teams to gather requirements and align on analytical objectives • Collaborate with business development team to identify market opportunities and practice growth strategies • Share knowledge and best practices with litigation teams to elevate analytical capabilities across the practice
Job Requirements
- Advanced degree in statistics, economics, or related quantitative field or commensurate professional and educational experience.
- 3+ years in litigation support, data analysis, consulting, or strategic operations role, preferably in a legal services environment
- Background in financial analysis, actuarial science, or quantitative fields highly valued
- Advanced proficiency in Excel, SQL, and statistical analysis tools (R, Python, SAS preferred)
- Hands-on experience with legal technology platforms (Relativity, Lexis, Westlaw) and case management systems
- Proficiency with Power BI or equivalent data visualization tools
- Experience with statistical modeling, regression analysis, and predictive analytics
- Proven ability to scope and lead complex analytical projects with limited direction
- Experience analyzing financial performance metrics, P&L statements, and profitability drivers
- Fluent in translating complex data into clear implications and actionable recommendations for legal strategy
- Comfortable working with large, complex datasets and developing data quality standards
- Experience working directly with attorneys and senior stakeholders
- Operates with a client-service mindset—responsive, proactive, and trusted advisor
- Comfortable working at both strategic and tactical levels within litigation framework
- Thrives in high-pressure, deadline-driven environments with shifting priorities
- Strong attention to detail and ability to maintain accuracy under pressure
- Eager to contribute beyond assigned tasks and play key role in practice growth and innovation
- Understanding of attorney-client privilege and work product doctrine as applied to litigation analytics
Benefits
- medical and dental coverage
- life insurance
- short-term and long-term disability insurance
- pre-tax flexible spending account for certain medical and dependent care expenses
- an employee assistance program
- Paid Time Off
- paid holidays
- participation in a retirement plan program after meeting eligibility requirements
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Working Student, Finance Data & Analytics
RecareRecare connects over 700 hospitals with more than 17.000 care and rehabilitation providers.
• Contribute to key Finance initiatives by analyzing financial data, developing dashboards, optimizing reporting processes, and supporting strategic projects such as system implementations and data migrations • Provide stakeholders with reliable insights that enable informed, data-driven decision-making across the business • Hands-on analyst turning raw exports (e.g. DATEV, CRM) into clean tables and actionable insights • Shape lightweight data pipelines (SQL/Sheets), definitions, and documentation for self-service key views • Support FP&A on forecasts, ad-hoc deep dives, and tool introductions/data migrations (mapping, test cases, reconciliation) • Ensure smooth month-/year-end support with simple reconciliations • Create and maintain dashboards using Abacum, Looker or Claude, and develop simple automations to enhance productivity and reduce manual workload • Analyze revenue, usage, and spend trends and communicate findings clearly • Accompany cross-functional analysts (Product, Sales, Marketing, Revenue Ops) to align on metrics and data standards
Senior Data Analyst
Institute of Psychiatry, Psychology & NeuroscienceJoin a thriving community of scholars and global leaders in their field
• Design and maintain impactful data solutions—including Power BI dashboards, automated reports, and ETL workflows—to deliver clear, actionable insights across the organisation. • Partner with senior stakeholders to gather and refine requirements, translate business needs into technical specifications, and manage expectations effectively throughout project lifecycles. • Apply data storytelling techniques and advanced analytics to highlight trends, improve patient outcomes, and support strategic decision-making. • Write, review, and optimise complex SQL queries for data extraction, transformation, and analysis across multiple data sources. • Ensure data quality and governance by implementing best practices in data management and validation. • Mentor junior analysts, supporting their professional development and promoting best practices in analytics. • Contribute to advanced analytics projects, including predictive modelling and automation using Python. • Stay up to date with trends and best practices in data analytics, business intelligence, and healthcare technology.
• Responsável por coletar, compilar, analisar elevada quantidade de dados desestruturados, interpretá-los e, em seguida, auxiliar na criação de estratégias e para tomada de decisões com vista a promover o desenvolvimento do negócio. • Minerar de dados de fontes primárias e secundárias; • Limpar e organizar dados para descartar informações irrelevantes; • Analisar e interpretar os resultados usando ferramentas e técnicas estatísticas; • Identificar tendências e padrões em conjuntos de dados; • Identificar novas oportunidades para melhoria de processos; • Projetar, criar e manter bancos de dados e sistemas de dados; • Corrigir problemas de código e problemas relacionados a dados; • Suportar e monitorar a plataforma de dados do cliente.
• Trabajar en un proyecto orientado a mejorar contenido y calidad de mapas digitales • Realizar tareas de investigación y evaluación en un entorno web • Verificar y comparar datos • Determinar la relevancia y precisión de la información
