Operations Business Intelligence Manager

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