Senior Infrastructure Analyst

About the team:

In this role, you will join the C&D Infrastructure team, supporting initiatives to strengthen our data analysis capabilities and enhance the performance of our internal CRM digital application and related processes. You will work closely with the market units and technology teams to coordinate efforts, ensuring a consistent focus on customer and broker needs. A key part of the role involves improving application features and maintaining high data quality within the system.

Job Requirements:

• Support end-to-end feature testing and implementation within the application, including data management tasks.
• Identify business challenges by analyzing market units, gathering insights, and assessing effort versus business value.
• Analyze production and sales pipelines, assist with broker and client analysis, and deliver actionable insights.
• Oversee the data quality framework and collaborate with technology teams to ensure consistent definitions for sales-related data within the application.
• Identify opportunities to improve and standardize reporting and analytical processes.
• Design and implement internal process enhancements, such as automating manual testing, optimizing delivery workflows, and improving infrastructure scalability.
• Enhance application functionality and user experience through data-driven root cause analysis and UI improvements.
• Prepare and document pipeline reports or analyses aligned with sales strategies.
• Communicate solutions to business stakeholders and incorporate feedback for continuous improvement.
• Experience in conducting client satisfaction surveys (e.g., Net Promoter Score - NPS).

 About you: 

• Bachelor’s degree (preferably in Economics, Statistics, Applied Mathematics, Physics, Computer Science, Engineering, or a related field), with 5–10 years of relevant experience.
• Proven expertise in predictive analytics techniques such as Logistic Regression, Linear Regression, Market Basket Analysis, Time Series, Random Forest, Neural Networks, etc.
• Hands-on experience with Python/PySpark and R.
• Strong proficiency in Microsoft Word, Excel, and PowerPoint; experienced with relational databases (SQL) and BI tools such as Microsoft BI, Palantir, and Tableau.
• Self-motivated, well-organized, and capable of managing multiple priorities while meeting tight deadlines.
• Skilled in communicating insights effectively through data visualization and presentations.
• Experience working with diverse countries and cultures is an advantage.
• Prior experience in the Commercial Insurance industry is a plus.