Senior Data Analyst

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. 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. SKILLS AND EXPERIENCE Essential • 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.