Data & Analytics Expert (hybrid)

About the Role

As a Data & Analytics Expert, you will partner with business teams across Property & Casualty Reinsurance domian to identify, shape and solve complex business problems through data and analytics. You will take ownership of analytical solutions from business problem definition through implementation, adoption and value realization.

You will work closely with business stakeholders to understand their challenges, identify opportunities for data-driven solutions, and translate business requirements into end-to-end analytical products. The role combines strong business problem-solving and analytical expertise with sufficient technical capability to translate business needs into practical, scalable solutions.

Working closely with the Advanced Analytics Lead, you will contribute to solution design, take ownership of analytical product development and provide people leadership for a small team.

About the Team

The Enabling Advanced Analytics team is part of Business Operations and Enablement within P&C Re Operations. The team is responsible for developing analytical products and solutions supporting functions such as Sales and Origination, Business Operations, Claims Management, In-force Management and Client Audit.

We generate actionable business insights by applying advanced analytics, automation and AI-driven solutions, and act as a bridge between business and IT.

What You’ll Do

• Partner with business stakeholders to understand strategic and operational challenges and identify where data and analytics can create measurable value.
• Frame complex business problems and translate them into clear analytical questions, hypotheses and solution approaches.
• Own analytical products end to end, from opportunity identification and solution design through implementation, business adoption and continuous improvement.
• Develop business logic, analytical methods and decision-support solutions that identify patterns, exceptions, risks and opportunities.
• Translate analytical outputs into actionable business insights, recommendations and interventions.
• Work with data scientists and IT/D&T teams to integrate machine learning, AI and scalable data capabilities where they add business value.
• Use tools such as Python, SQL, PySpark to explore business questions, prototype solutions and translate analytical findings into practical business applications.
• Define and track value measures, including adoption, decision quality, operational efficiency and business outcomes.
• Lead and develop a small analytical team, providing direction, coaching and support.

About You

• You enjoy solving complex business problems using data and have a strong analytical mindset combined with hands-on technical capabilities.
• You are comfortable exploring complex datasets, developing analytical approaches and translating insights into practical solutions that business users can understand and act upon.
• You enjoy working across the full analytical product lifecycle, from understanding the business problem to developing, implementing and continuously improving the solution.
• You combine strong analytical and technical expertise with a collaborative mindset, take ownership of outcomes and enjoy leading and developing others.

We are looking for candidates who meet these requirements:

• Strong hands-on experience in analytics, analytical product development or data-driven problem-solving.
• Strong analytical and quantitative skills, with experience applying statistical, rule-based or other analytical techniques to complex business problems.
• Proficiency in Python, SQL and PySpark for data exploration, transformation and analytical logic development.
• Strong interest and enthusiasm for working on data science problems alongside standard analytical solutions.
• Experience developing end-to-end analytical solutions, including data preparation, analytical logic, validation and visualization.
• Strong business problem-solving, communication and stakeholder collaboration skills.

These are additional nice to have:

• Experience with Palantir Foundry, including Workshop.
• (Re)Insurance or financial services domain knowledge.

• Experience leading or mentoring technical or analytical team members, with the ability to provide direction, coaching and support their professional development.

For Slovakia the base salary range for this position is between 3 300 EUR and 5 400 EUR per month (for a full-time role). The specific salary offered considers:​

• the requirements, scope, complexity and responsibilities of the role, ​
• the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.​

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.​

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.

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 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.

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