• Serve as the primary strategic and analytical partner to Law Firm Operations leadership across the full case lifecycle from intake through pre-litigation, litigation, settlement, and resolution • Define, refine, and standardize KPIs for each phase of the operational workflow, ensuring clear accountability and measurable performance standards • Establish performance monitoring frameworks that distinguish leading vs. lagging indicators and drive proactive operational management • Build executive-level dashboards and reporting systems that provide clarity to operational leaders and enable data-informed decision-making • Analyze throughput, conversion rates, cycle times, staffing productivity, case economics, and quality metrics across the lifecycle • Identify bottlenecks, performance variability, and structural inefficiencies across states, teams, and practice areas • Translate operational data into clear, actionable recommendations for Law Firm leadership • Support forecasting and capacity modeling tied to case volume growth and expansion initiatives • Write and optimize advanced SQL queries to support operational analysis and reporting • Lead and develop analysts, ensuring strong analytical standards and business fluency

• Turn GTM Data Into Clarity • Support Funnel Optimisation • Forecasting & Performance Tracking • Data, Systems & Foundations • Strategic & Ad-Hoc Analysis

• Take ownership of service analytics and provide ongoing analytical support for product, marketing, and web teams • Work with existing data foundations, dashboards, and metrics, improving and scaling them where needed • Answer ad-hoc and recurring business questions related to product performance, marketing efficiency, and growth • Maintain and develop performance, ROI, and attribution analytics in collaboration with product and growth teams • Ensure data quality, metric consistency, and clear documentation for key dashboards and reports • Communicate insights and recommendations clearly to both technical and non-technical stakeholders

• Facilitate data-informed decision-making across the product and engineering teams • Partner with product & engineering teams understand important business problems, then own the full lifecycle of data-driven solutions: analysis, metric definitions, transformation pipelines in dbt, experimentation, measurement, data story-telling and, most importantly, influencing decisions • Collaborate with Product, Research, Engineering, Customer Success and others to provide data products to allow them to better measure the impact of their work and find new opportunities • Work with data engineers on our team to help build our new Lake House in Databricks in your area of expertise and document vital context about our data that can be used by both stakeholders and AI tools • Provide leadership in how we use product analytics tools like Amplitude to make decisions • Be a key voice in making data-driven decisions in our software development lifecycle • Increase your impact by continuously learning and evolving your workflows as AI technology matures. Form opinions that help Jellyfish support its customers in their AI journeys. • Enable your stakeholders to have a bigger impact through the use of AI in their own analytics workflows. As necessary, build the data tools they need, be their expert-in-the-loop, or influence them to adopt new workflows.