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2 Days ago

Data Analyst

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Pune, Maharashtra, India
Finance & Banking
Full-Time
myGwork LGBTQ Business Community

Overview

This job is with Swiss Re, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Join Swiss Re as a Data Analyst and turn complex data into actionable intelligence. You'll collaborate across global teams, streamline operational performance, and support strategic decision-making with your analytical expertise. If you're passionate about data, curious by nature, and eager to make a difference in a dynamic environment - this is your opportunity.

About The Role

Together with PSS Operations Lead, you will play a key role in supporting PSS data-driven decision-making processes by developing and maintaining robust data models, automated pipelines, and analytical tools. The role requires both technical fluency and a sharp analytical mindset to convert complex data into meaningful insights for PSS Client Managers.

Key Responsibilities

  • Data Processing: Implement big data processing workflows and pipelines to handle large-scale datasets efficiently.
  • Model Development and Maintenance: Design, develop, test deploy, retrain learning models and algorithms to solve complex business problems in collaboration with other Swiss Re teams to optimize PSS delivery for business growth.
  • Automation: Promote and implement best practices to develop automated data extraction solutions for pipeline and pricing data. Assess new and promising technologies from the GenAI within group.
  • Platform Management: Maintain and enhance our data platforms to ensure high performance and reliability.
  • Collaboration: Work closely with business stakeholders to understand their needs, provide insights, and deliver tailored solutions.
  • KPI Tracking: Support management to deliver on business goals.

About The Team

Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.

About You

  • Degree in Computer Science, Data Science, Finance, or related field
  • 4+ years of experience as a Business Analyst, Data Engineer, or similar role
  • Strong proficiency in Excel, including advanced modelling and macros
  • Experience in data modelling and API design
  • Practical experience in building automated data transformation workflows and pipelines
  • Strong technical and quantitative skills; proficient with tools for data analytics and reporting
  • Excellent analytical and problem-solving skills with strong attention to detail
  • Proven ability to communicate complex data in an accessible and actionable way
  • Comfortable working under pressure, handling multiple tasks, and managing diverse stakeholder needs
  • Self-starter with the ability to work independently with minimal direction
  • Positive, goal-oriented mindset with a "can-do" attitude
  • Fluent in English; additional languages are a plus

About Swiss Re Corporate Solutions

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.

Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces 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.

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Keywords

Reference Code: 134734

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