Work with business, actuarial, analytical, and technical stakeholders to understand the intended analytics methodology, data inputs, business rules, and expected outputs.
Build and/or apply analytics methodology on top of structured and semi-structured datasets using SQL, Python, and Databricks-based workflows.
Design derived tables, views, and curated data layers that align with analytical methodology and are suitable for consumption by front-end applications, dashboards, reports, and downstream users.
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Define and refine the strategic roadmap for the platform, ensuring enhancements align with overall business goals and integration with other strategic systems.
Coordinate across multiple tenant groups on the platform to understand needs, utilization patterns, and pain points.
Prioritize platform enhancements and capabilities in partnership with product, technology, and business stakeholders, making trade-off decisions and clearly communicating rationale.
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Define and refine the strategic roadmap for the platform, ensuring enhancements align with overall business goals and integration with other strategic systems.
Coordinate across multiple tenant groups on the platform to understand needs, utilization patterns, and pain points.
Prioritize platform enhancements and capabilities in partnership with product, technology, and business stakeholders, making trade-off decisions and clearly communicating rationale.
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Data auditing, formatting and compilation of insurance risk portfolios for the purpose of catastrophe management using a range of software platforms (MS Access, MS Excel, SQL)
Catastrophe modelling analysis using internal and externally licensed catastrophe models.
Catastrophe model results interpretation, testing and evaluation of models
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Serve as a senior advisor to multinational clients on healthcare and risk benefit strategy, with a focus on claims utilization, cost management and value optimization.
Interpret complex data and analytics to develop clear, actionable recommendations for global and regional HR, Finance and Risk stakeholders.
Lead client meetings, workshops and presentations, explaining analytical findings and funding options in a clear, commercially focused manner.
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Champion evidence‑led decision‑making by translating brand performance data into clear insight, reporting, and guidance that supports leadership decision-making, business outcomes, and effective brand and campaign activity.
Partner with marketing teams to help interpret campaign performance and in‑campaign brand uplift results for global paid media, supporting the synthesis of learning across markets and report writing.
Support the development and maintenance of a structured, evidence‑based view of industry developments and key competitor activity, including monitoring industry developments and competitor activity and preparing brand intelligence reporting delivered to an agreed cadence.