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Senior Infrastructure Analyst

5 - 10 years

7 - 11 Lacs

Posted:21 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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). Experience in managing stakeholders. 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 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 Power BI, Palantir. 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. About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134358

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Swiss Re
Swiss Re

Insurance and Reinsurance

Zürich

around 13,700 Employees

132 Jobs

    Key People

  • Christian Mumenthaler

    Group CEO
  • David Rüsch

    Chief Financial Officer

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