Senior Analytics Analyst

Are you passionate about turning complex data into powerful business insights? Do you thrive at the intersection of advanced analytics, machine learning, and real-world commercial impact? If you love solving challenging problems and collaborating with diverse teams to drive meaningful growth, this could be your next exciting career move!

About the Role

As a Senior Analytics Analyst, you will be at the heart of transforming how we use data to drive smarter, faster, and more impactful business decisions. You will play a pivotal role in shaping our sales analytics capabilities, working closely with stakeholders across the organization to unlock the full potential of data — from building cutting-edge machine learning models to delivering compelling insights that fuel growth. This is a high-visibility role where your work will directly influence strategic decisions and commercial outcomes.

Key Responsibilities

• Partner with stakeholders throughout the GDM organization to identify and prioritize opportunities for leveraging data to develop innovative business solutions
• Mine and analyze large-scale data from Sales Analytics databases to drive efficiency improvements and support the achievement of growth objectives
• Evaluate and assess the effectiveness and accuracy of new data sources and data gathering techniques to continuously improve data quality
• Design and develop custom data models and algorithms, applying them to complex datasets to generate actionable insights
• Build and automate reports and dashboards iteratively, providing scalable insights that address key business priorities
• Develop robust processes and tools to monitor and analyze model performance, ensuring ongoing data accuracy and reliability
• Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying Generative AI (GenAI) technologies to enhance outcomes
• Stay at the forefront of the latest advancements in GenAI technologies and proactively recommend innovative solutions to enhance data science processes
• Deliver compelling presentations of findings and recommendations to stakeholders at multiple levels, creating clear and impactful visual displays of quantitative information
• Manage stakeholder relationships effectively — soliciting ideas, prioritizing requests, and managing expectations with clarity and professionalism
• Coordinate efforts and actions with nine market units, maintaining a strong client and broker focus with emphasis on growth initiatives and sales campaigns

About the Team

You will be joining the GDM Analytics team, a dynamic and collaborative group dedicated to enhancing sales data analytics capabilities across the organization. The team plays a central role in coordinating analytics efforts across nine market units, ensuring alignment and consistency in how data drives decision-making. With a sharp focus on client and broker relationships, the team is at the forefront of powering growth initiatives and sales campaigns through the intelligent use of data.

About You

You are a curious, driven, and collaborative analytics professional who combines strong technical expertise with excellent communication skills. You have a natural ability to translate complex data into clear, actionable insights and enjoy working across teams to solve real-world business challenges. You bring a growth mindset, a passion for emerging technologies, and the confidence to present findings to senior stakeholders. You are proactive in staying current with the latest developments in data science and GenAI, and you are energized by the opportunity to make a tangible impact.

We are looking for candidates who meet these requirements:

Requirement	Details
Educational background	Bachelor's, Master's, or PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field
Hands-on experience	At least 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems) and coding languages such as Python, R, and SQL to manipulate data and draw insights from large datasets
Machine learning expertise	Proficiency in machine learning libraries and frameworks such as TensorFlow, PySpark, and scikit-learn, with knowledge of a variety of techniques including clustering, ensembles, and artificial neural networks
Experience with data preprocessing	Feature engineering, and data wrangling techniques
Statistical foundations	Solid understanding of probability concepts, statistical analysis, hypothesis testing, and experimental design
AI and NLP experience	Demonstrated experience working with Large Language Models (LLMs) and other Machine Learning models to analyze structured and unstructured data, including Natural Language Processing (NLP) applications
Excellent communication skills	Ability to coordinate effectively across diverse, cross-functional teams
Strong problem-solving skills	Emphasis on pragmatic, solution-oriented thinking

These are additional nice to have:

• Familiarity with latest GenAI technologies and their practical application in a business context
• Commercial Insurance experience — an understanding of the insurance industry and its data landscape is a valuable plus
• A genuine drive to learn and master new technologies and techniques, staying ahead of the curve in a rapidly evolving field

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

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 15,000 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.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.