Business Intelligence Manager, Operations Analytics

PRUDENTIAL ASSURANCE COMPANY SINGAPORE (PTE) LIMITED; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Prudential Assurance Company Singapore (Pte) Limited is seeking a strategic and hands-on Operations Analytics Manager to uncover actionable insights across our operations value chain. This role blends data science, operational strategy, and business transformation to frame the right problems and drive decisions that matter.

You will frame problems, perform EDA, test hypotheses, and translate data into business impact for underwriting, claims, and operations.

Qualifications

• 5+ years in data analytics, operations strategy, or consulting.
• 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.

Responsibilities

• Frame the problem: translate business pain points into structured statements using issue trees.
• Explore the data: conduct exploratory data analysis to identify root causes, patterns, and anomalies.
• Hypothesis-driven analytics: formulate and test hypotheses to validate root causes and levers.
• Insight generation: translate 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 into tidy 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 embed insights into decision-making.

Skills

SQL

Python

EDA

Hypothesis testing

Root cause analysis

Issue tree frameworks

Executive communication

Job description

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 ofSQL and Pythonfor data extraction, transformation, and analysis
• Experience withEDA, hypothesis testing, and root cause analysis
• Familiarity withissue tree frameworks
• Ability totranslate data into business impact—clear communicator with executive presence
• Experience working withlarge, messy, or cross-functional datasets
• Exposure to insurance operations, claims workflows, or underwriting systems