Role Description 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. - Case Analytics & Outcome Prediction - 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. - Portfolio Management & Strategic Insights - 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. - Reporting & Visualization - 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). - Data Management & Process Optimization - 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. - Cross-Functional Collaboration - 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. Qualifications - 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. Preferred Qualifications - JD is preferred. - Experience with mass tort, class action, or complex litigation preferred. - Experience with insurance coverage analysis and actuarial modeling. - Knowledge of federal and state court systems and civil procedure. - Understanding of damages calculations and economic loss analysis. Benefits - Employees are entitled to compensation commensurate with skill and experience. - The expected compensation ranges for this position in various states and jurisdictions are as follows: - State of California: $111,000 - $211,000 - State of Colorado: $102,000 - $182,000 - State of Illinois: $100,000 - $194,000 - State of Massachusetts: $111,000 - $211,000 - State of Maryland: $107,000 - $163,000 - State of Minnesota: $111,000 - $183,000 - Jersey City, NJ: $120,000 - $218,000 - State of New York: $103,000 - $223,000 - State of Vermont: $109,000 - $210,000 - State of Washington: $107,000 - $204,000 - Washington, D.C.: $143,000 - $210,000 - The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. - Full-time employees receive benefits including: - 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 - And more Company Description Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations. At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better. Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation.

• 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

• 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