Operations Business Intelligence Manager
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Job Profile Summary
We’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 Responsibilities
Frame the problem: Translate business pain points into structured problem statements using issue trees
Explore the data: Conduct exploratory data analysis (EDA) to identify root causes, patterns, and anomalies across operational processes
Hypothesis-driven analytics: Formulate and test hypotheses using statistical and scripting methods to validate root causes and solution levers
Insight generation: Translate complex data into clear, actionable insights for senior stakeholders across underwriting, claims, and operations
Action design: Recommend and track interventions based on data-driven findings
Data handling: Use SQL and Python to extract, clean, and join datasets from multiple sources into tidy, analysis-ready formats
Framework development: Build repeatable analytics frameworks and dashboards to monitor performance, quality, and risk signals
Partner cross-functionally: Collaborate with product, tech, and frontline teams to ensure insights are embedded into decision-making and design
Qualifications & Skills
5+ years in data analytics, operations strategy, or consulting (insurance or financial services preferred)
Strong command of SQL and Python for data extraction, transformation, and analysis
Experience with EDA, hypothesis testing, and root cause analysis
Familiarity with issue tree frameworks
Ability to translate data into business impact—clear communicator with executive presence
Experience working with large, messy, or cross-functional datasets
Exposure to insurance operations, claims workflows, or underwriting systems