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For Companies At a Glance
- Tasks: Develop and enhance software features while focusing on data analysis and product analytics.
- Company: Leading tech company in health insurance software with a collaborative hybrid work culture.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team to shape product analytics and make impactful data-driven decisions.
- Qualifications: Strong experience in .NET, data analysis, and modern web frameworks required.
- Other info: Exciting opportunity to work on innovative projects in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
We are working with a Bristol based tech company, a leading worldwide supplier of software to health insurers, with an extensive platform consisting of core back office automation, Open API and integration suite, and digital solutions serving the insurance value chain. Currently looking to recruit a Senior .NET Developer in data and product analytics. This is a 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 business's 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.
- Product Development (.NET / Angular / APIs)
- 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 NServiceBus for messaging
- Data & Analytics Capability
- 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 MongoDB as core sources.
- Build and maintain dashboards and reports to track performance.
- Perform exploratory data analysis to surface insights.
Skills & Experience required
- Strong commercial experience developing production systems with:
- .NET / C#
- ASP.NET Core or equivalent web frameworks
- Angular (or similar modern SPA framework)
- SQL Server (schema design, complex queries, performance tuning)
- MongoDB (or equivalent NoSQL document store)
- RESTful APIs; NServiceBus or equivalent messaging framework.
Proven experience in data analysis and/or analytics engineering:
- Comfortable writing complex SQL for reporting and analysis.
- Experience modelling event and usage data for analytics.
- Practical experience with dashboards and BI/reporting tools (e.g. Power BI, Tableau, Looker, or similar).
Senior .NET Developer Data & Product Analytics employer: Newton Blue
Contact Detail:
Newton Blue Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior .NET Developer Data & Product Analytics
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with .NET or in product analytics. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving .NET, data analysis, and product analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to .NET, SQL Server, and data analytics. Practising coding challenges can also help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented developers like you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior .NET Developer Data & Product Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your .NET development experience, data analysis skills, and any relevant projects you've worked on. We want to see how you can contribute to our product analytics capability!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Don't forget to mention your experience with SQL Server, MongoDB, and any analytics tools you've used.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical examples of your work, especially in product development and data analytics.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Newton Blue
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially .NET, C#, and Angular. Brush up on your SQL skills too, as you'll need to demonstrate your ability to write complex queries and understand schema design.
✨Showcase Your Data Skills
Prepare to discuss your experience with data analysis and analytics engineering. Be ready to share examples of how you've modelled event and usage data for analytics, and any dashboards or BI tools you've worked with, like Power BI or Tableau.
✨Understand Product Analytics
Familiarise yourself with key product KPIs and how they align with business objectives. Think about how you would instrument an application to capture product usage data and be prepared to discuss your approach to defining meaningful metrics.
✨Be Agile Ready
Since this role involves working in a Scrum team, brush up on Agile methodologies. Be prepared to discuss your experience with sprints, code reviews, and collaboration within cross-functional teams, as these will be crucial for your success in the role.