Senior Infrastructure Analyst

5 - 10 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will be joining the C&D Infrastructure team at Swiss Re, where you will be involved in initiatives to enhance data analysis capabilities and improve the performance of the internal CRM digital application. Your role will require close collaboration with market units and technology teams to ensure a customer and broker-centric approach. Improving application features and maintaining high data quality will be key responsibilities within this role. Key Responsibilities: - Support end-to-end feature testing and implementation within the application, including data management tasks. - Identify business challenges through market unit analysis, gathering insights, and assessing effort versus business value. - Analyze production and sales pipelines, assist with broker and client analysis, and provide actionable insights. - Oversee the data quality framework and work with technology teams to ensure consistent definitions for sales-related data. - Identify opportunities to enhance and standardize reporting and analytical processes. - Design and implement internal process enhancements, such as automating manual testing 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 such as Net Promoter Score (NPS). Qualifications Required: - Bachelor's degree 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 like 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; familiarity with relational databases (SQL) and BI tools such as Microsoft BI, Palantir, and Tableau. - Self-motivated, well-organized, capable of managing multiple priorities, and meeting tight deadlines. - Skilled in effectively communicating insights through data visualization and presentations. - Experience working with diverse countries and cultures is advantageous. - Prior experience in the Commercial Insurance industry is a plus. Note: The job description did not include any additional details about the company, so this section has been omitted.,

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Swiss Re logo
Swiss Re

Insurance and Reinsurance

Zürich

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