Associate Data Analyst

Bengaluru, KA, IN

About Swiss Re 

The Swiss Re Group 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. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission. 

 

About the Team 

Sitting in the Casualty Underwriting Office, the Casualty Data & Analytics team is a multi-national team that aims to provide a one-stop shop offering insights and guidance all analytics needs of Casualty Underwriting, Actuarial and Steering teams. 

Our Team is passionate about their work and is supporting and promoting a feedback culture based on agile values, encouraging our Squad members to take freedom to drive their vision and authority for their 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 the Role 

Do you love to work with data, and do you get a kick out of providing valuable insights to your colleagues? Do you love to connect the dots and draw conclusions based on facts where others are just guessing? Then this might be the ideal job for you.  

 

This position is an exciting opportunity to join the Actuarial and Analytics function located in Bangalore. The focus of this role would be to design and support of the existing and future underwriting tool and data landscape. With your outcome-centric data skills, you will ingest data from various sources, build data model and generate insights to help our clients. You will explore options for integrating data between systems, improve data quality and highlight gaps. You will turn your ideas into reality. The outcome of your work would be new dashboards in our analytics solution or even totally new data-driven solutions. Your primary responsibilities will include but not limited to: 

  • Acquire and aggregate data from primary and secondary data sources and maintain data model. 

  • Identify, analyze, and interpret trends or patterns in underwriting data. 

  • Create visualizations, dashboards, and reports to present insights and findings to stakeholders and management. 

  • Develop and maintain data pipelines to support data-driven decision-making. 

  • Analyses and interprets reports and data to effectively position recommendations to increase profitability. 

  • Monitor key performance indicators and provide regular reporting on industry performance, underwriting trends and portfolio steering indicators. 

About You 

We are happy to meet you if you possess: 

  • University degree in Computer Science/Mathematics/Statics 

  • Demonstrated ability in a role analyzing significant data volumes. 

  • Technical expertise regarding data models, database design development, data mining and segmentation techniques 

  • Experience in a role where business requirements are met with technology solutions and then supporting those applications/solutions. 

  • Proficient in SQL, at least one programming language (e.g., Python) and reporting / data visualization tools (e.g., Tableau/Power BI). 

  • Passion about Agile principles and are excited to embed them into your daily work. 

  • A continuous improvement mind-set and dedication to uncovering better ways of working. 

  • "CAN DO" mentality and willingness to learn new technologies to continuously upskill. 

  • Ability to prioritize and apply sound commercial judgment. 

  • Excellent communication and stakeholder management skills, with the 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. 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.

 

 

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Reference Code: 129452 

 

 

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Tags: Agile Computer Science Data Mining Data pipelines Data quality Data visualization Mathematics Pipelines Power BI Python SQL Tableau

Perks/benefits: Flex hours

Region: Asia/Pacific
Country: India
Job stats:  4  0  0
Category: Analyst Jobs

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