Associate Data Analyst at Swiss Re United Kingdom

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

0.0

Posted On

06 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Insight Generation, Visualization Development, Analytics Infrastructure, Performance Analysis, Trend Monitoring, Advanced Analytics, Data Models, Database Design, Data Mining, Python, R, Tableau, Power BI, Machine Learning, AI Techniques

Industry

Insurance

Description

About the Role Do you love to work with data and do you get a kick out of providing valuable insights to colleagues? Do you love to connect the dots, draw conclusions based on facts, derive clear business implications and share them with stakeholders? Then this might be the ideal job for you. This position is an exciting opportunity to join the Casualty Analytics function located in Bangalore. The focus of this role would be to design and support existing and future underwriting data and analytics landscape. With outcome-centric data skills and ability to formulate clear conclusions, you will ingest data from various sources, build data models for sustainable production-ready solutions and generate insights to help our stakeholders. You will explore options for integrating data between systems, highlight gaps and improve data quality. You will turn ideas into reality. The outcome of your work would be new dashboards in our analytics solution or even totally new data-driven solutions. Primary responsibilities will include but are not limited to: Data Management - Acquire and aggregate data from internal and external primary and secondary sources, designing and maintaining suitable data models Insight Generation - Identify, analyze, and interpret trends or patterns in underwriting data Visualization Development - Create visualizations, dashboards, and reports to present insights and explain findings to stakeholders and management Analytics Infrastructure - Develop and maintain data and analytics pipelines to support data-driven decision-making. Optimize and enhance existing algorithms for efficiency and scalability Performance Analysis - Analyze and interpret reports and data to effectively position recommendations to improve our underwriting performance Trend Monitoring - Monitor key indicators and provide regular reporting on industry performance, underwriting trends and portfolio steering recommendations Advanced Analytics - Apply machine learning and AI techniques to further advance analytics and automation About the Team Part of the Casualty Chief Underwriting Office and spread over three main locations, the Casualty Data & Analytics team aims to provide a one-stop shop for all analytics needs of Casualty Underwriting, Actuarial and Steering teams to help Swiss Re take the best underwriting decisions. Our multi-national team is passionate about their work. We support and promote an open feedback culture based on the freedom to drive our vision and authority to take own decisions. Our location at the heart of Bangalore has been witnessing sustainable growth – the kind of growth characterized by the complex and differentiated value delivered to the business. About You We are happy to meet you if you possess: University degree in Computer Science/Mathematics/Statistics and 4+ years of relevant working experience Demonstrated ability to analyze significant data volumes, draw clear conclusions and communicate them to stakeholders Hands-on technical expertise regarding data models, database design development, data mining and segmentation techniques Proficiency in at least one programming language (e.g., Python or R) and reporting/data visualization tools (e.g., Tableau/Power BI) Passion for Agile principles and excitement to embed them into daily work A continuous improvement mindset and dedication to uncovering better ways of working "CAN DO" mentality and willingness to learn new technologies to continuously upskill Excellent communication and stakeholder management skills, with proven ability to effectively communicate with both technical and non-technical audiences Basic knowledge of (re)insurance concepts 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. 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. .swissre_footer { position: relative; margin-top: -50px; height: 30px; clear: both; margin-bottom: 20px; background: #EEE none repeat scroll 0% 0%; line-height: 30px; padding: 0px 10px; color: #AAA; font-family: "Arial,Helvetica,sans-serif"; } .swissre_jobtemplate { width: 970px; max-width: 100%; height: auto; } .jobDisplay .job { font-family: "Arial" !important; font-size: 12px !important; } .joqReqDescription { max-width: 100%; height: auto; align: center; } .joqReqDescription ul { width: 787px; max-width: 100%; } .joqReqDescription p { width: 827px; max-width: 100%; } Keywords: Reference Code: 136269

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Responsibilities

The Associate Data Analyst will acquire and aggregate data from various sources, design and maintain data models, and generate insights to support stakeholders. Responsibilities also include creating visualizations and dashboards, developing analytics pipelines, and applying advanced analytics techniques.