Senior Data Engineer

Chubb; Kuala Lumpur; On-site; MYR 90,000 - 130,000; Full time

Job summary

Chubb is seeking a Data Analyst to support the APAC Claims Operations across 11 markets from Kuala Lumpur. You will monitor performance, identify trends, and deliver actionable insights from complex data environments while working with senior leadership.

Responsibilities include BAU reporting, data management, ad hoc analyses, and building scalable dashboards. You will drive automation with Python/SQL and leverage AI tools to enhance analytics across geographies.

Qualifications

• 3+ years in a senior data analyst or similar role in financial services or complex ops.
• Proficient in Python or equivalent scripting for automation.
• Strong SQL across multi-table relational databases and data from multiple systems.
• Advanced Excel skills with pivots, formulas and data modeling.
• Experience building dashboards in Power BI or Tableau.
• Familiarity with AI tools for coding or analytics is a plus.

Responsibilities

• Produce, maintain and automate BAU reports across APAC markets.
• Manage data from multiple sources, reconcile and ensure accuracy.
• Perform ad hoc analysis and market-level deep dives for leadership.
• Design, build and maintain dashboards for operational/leadership use.
• Develop automation scripts to reduce manual data handling.
• Collaborate with cross-functional teams across time zones.

Skills

Python

SQL

Data Visualization

Excel

Data Quality

Cross-functional Collaboration

Education

Bachelor's degree in Data Science or related

Tools

Power BI

Tableau

Git

Job description

ABOUT THE ROLE

We are seeking a Data Analyst to support the APAC Claims Operations team across 11 markets. This role is central to how the function monitors performance, identifies trends and makes decisions — and will work directly with senior leadership to deliver actionable insights from complex, multi-system data environments.

Job Description

We are seeking a Data Analyst to support the APAC Claims Operations team across 11 markets. This role is central to how the function monitors performance, identifies trends and makes decisions — and will work directly with senior leadership to deliver actionable insights from complex, multi-system data environments.

Key Responsibilities

BAU Reporting and Data Management

• Produce, maintain and automate regular BAU reports covering claims volumes, financials, headcount and performance metrics across APAC markets.
• Manage and reconcile data from multiple source systems, geographies and business lines, ensuring accuracy and consistency.
• Identify, investigate and resolve data discrepancies, working with local market teams and IT as needed.
• Maintain data documentation, version control and audit trails for all reporting outputs.

Ad Hoc Analysis

• Respond to ad hoc data requests from senior leaders, including market-level deep dives, financial banding analysis and portfolio reviews.
• Build and run queries across relational databases and data warehouses to extract and manipulate large datasets.
• Translate ambiguous business questions into structured analytical frameworks with clear outputs.

Dashboard Development

• Design, build, and maintain end-to-end automated reporting pipelines, interactive dashboard and visualisations for operational and leadership audiences.
• Iterate on existing reporting tools based on stakeholder feedback, ensuring outputs remain relevant and usable.
• Ensure dashboards are scalable across markets and can be updated efficiently as data sources evolve.

Automation & Productivity Improvement

• Proactively identify repetitive, manual reporting processes across regional and local teams, replacing them with resilient, scheduled Python/SQL automation workflows.
• Develop lightweight scripts, data parsers, and custom tools to eliminate manual data entry, reconcile discrepancies, and streamline cross-market data exchange.
• Establish version control (Git), documentation, and data validation checks

AI and Emerging Technology

• Leverage modern AI-assisted coding tools to accelerate script development, refactoring, and data problem-solving.
• Design and pilot practical AI applications for claims operations, such as automated classification of unstructured claims notes, anomaly/fraud pattern detection, and document summarisation.
• Champion AI-driven operational enhancements, staying abreast of practical advancements in LLMs, agentic workflows, and automated intelligence.
• Apply AI and machine learning tools to enhance data processing, pattern recognition and predictive analytics within the claims function.
• Identify opportunities to embed AI-assisted automation into existing reporting and analytical workflows, reducing manual effort and improving speed to insight.
• Collaborate with the broader Claims Transformation agenda to pilot and scale AI use cases, including natural language querying, anomaly detection and document summarisation.
• Stay current with developments in AI tooling relevant to data and operations, and bring forward practical recommendations for adoption.

Continuous Improvement

• Proactively identify gaps in current data coverage or reporting processes and propose solutions.
• Automate repetitive reporting tasks to improve turnaround time and reduce manual error.

Essential

SKILLS AND EXPERIENCE

• 3+ years in a Senior data analyst or similar role, preferably in financial services, insurance or a similarly complex operational environment.
• Proficiency in Python or equivalent scripting/automation skills.
• Strong SQL skills with experience querying multi-table relational databases.
• Experience working with data from multiple systems, geographies or business units.
• Proven ability to identify and resolve data quality issues with minimal supervision.
• High proficiency in Excel, including pivot tables, complex formulas and data modelling.
• Experience building dashboards using tools such as Power BI, Tableau or equivalent.
• Practical experience using AI tools (e.g. LLMs, Copilot, AI-assisted coding or analytics platforms) to improve analytical output or workflow efficiency.

Desirable

• Exposure to claims, actuarial or insurance data.
• Experience working in or with APAC markets.
• Experience with automated document/presentation generation (e.g., Python to PowerPoint/Email/PDF pipelines).
• Understanding of financial reporting, including expense management or claims financials.
• Experience with machine learning concepts or predictive modelling.

Qualifications

Essential

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics or a related quantitative discipline.

Desirable

• Postgraduate qualification in a relevant field.
• Professional certification in data or analytics (e.g. Microsoft Power BI Data Analyst, Google Data Analytics Certificate, AWS Certified Data Analytics).
• Certification or coursework in AI or machine learning (e.g. Coursera ML Specialisation, DataCamp AI Fundamentals).

ATTRIBUTES

• Proactive self-starter who identifies problems and acts before being asked.
• Highly organised, able to manage multiple competing priorities to tight deadlines.
• Comfortable operating in ambiguity and translating incomplete briefs into structured work.
• Strong communicator who can present data clearly to both technical and non-technical audiences.
• Curious about AI and new technology — willing to experiment and embed new tools into daily practice.
• Detail-oriented without losing sight of the bigger picture.
• Collaborative and responsive — works well across time zones and cultures.