Business Intelligence Manager, Operations Analytics

Job Profile SummaryWe’re seeking a strategic and hands-on Operations Analytics Manager to uncover actionable insights across our operations value chain. This role is ideal for someone who thrives at the intersection of data science, operational strategy, and business transformation—someone who can frame the right problem, explore the data landscape, and drive decisions that matter.Key ResponsibilitiesFrame the problem: Translate business pain points into structured problem statements using issue treesExplore the data: Conduct exploratory data analysis (EDA) to identify root causes, patterns, and anomalies across operational processesHypothesis-driven analytics: Formulate and test hypotheses using statistical and scripting methods to validate root causes and solution leversInsight generation: Translate complex data into clear, actionable insights for senior stakeholders across underwriting, claims, and operationsAction design: Recommend and track interventions based on data-driven findingsData handling: Use SQL and Python to extract, clean, and join datasets from multiple sources into tidy, analysis-ready formatsFramework development: Build repeatable analytics frameworks and dashboards to monitor performance, quality, and risk signalsPartner cross-functionally: Collaborate with product, tech, and frontline teams to ensure insights are embedded into decision-making and designQualifications & Skills5+ years in data analytics, operations strategy, or consulting (insurance or financial services preferred)Strong command of SQL and Python for data extraction, transformation, and analysisExperience with EDA, hypothesis testing, and root cause analysisFamiliarity with issue tree frameworks Ability to translate data into business impact—clear communicator with executive presenceExperience working with large, messy, or cross-functional datasetsExposure to insurance operations, claims workflows, or underwriting systems