Senior .NET Developer – Data & Product Analytics; Health Insurance Platform

Senior .NET Developer – Data and Product Analytics

We’re Cegedim Insurance Solutions, on a mission to enable health insurers to rapidly add value through our technology solutions. Actisure is our award-winning product which has led us to become a leading worldwide supplier of software to health insurers. It’s an extensive platform consisting of Core back office automation, Open API and integration suite and Digital solutions serving customers and all parties in the insurance value chain.

Currently looking to recruit a Senior .NET Developer in data and product analytics. Hybrid working role.

The role will combine hands‑on feature development in the core stack with a strong focus on data analysis, instrumentation, and product analytics. The successful candidate will help establish the businesses product analytics capability from the ground up, enabling the Product Manager and wider business to make data‑driven decisions on roadmap, feature design, and resource allocation.

You will work as a core member of the Scrum team (3‑week sprints) building and enhancing the policy and claims management platform for health insurers, while also owning the end‑to‑end data pipeline and analytics tooling that underpins product KPIs and user behaviour insights.

• Design, develop, and maintain features across our policy and claims management product using:
  • .NET (C#), ASP.NET Core
  • Angular
  • SQL Server and MongoDB
  • RESTful APIs and NService
    
    Bus for messaging
• Contribute to technical design, code reviews, and shared libraries/services across teams.

• Work with the Product Manager to define meaningful product KPIs (e.g. feature adoption, task completion times, funnel conversion, retention, usage patterns) aligned to business objectives.
• Instrument the application to capture product usage data, including:
  • Event tracking for key user actions and workflows
  • Feature flags/experiments where appropriate
  • Structured logging and telemetry
• Design and implement data pipelines and data models to support analytics, using SQL Server and Mongo
  
  DB as core sources.
• Build and maintain dashboards and reports to track
• Perform exploratory data analysis to surface insights.