Data Engineering Analyst II

About the team:

Global Finance Operations & Transformation (GFO&T) is the unit responsible for the accounting and reporting of accurate and consistent financial information for Swiss Re for external reporting and internal analysis facilitating strategic decisionmaking. This includes IFRS for Group as well as statutory financial information for all Swiss Re legal entities, including SST and Solvency II. GFO&T spearheads the transformation of Global Finance, streamlining it towards a simpler, more effective forward-looking organization.

We are a diverse team based out of Zürich, Bratislava and Bangalore, committed to bring alive the Finance of the Future within the Group Finance Operations & Transformation (GFO&T) organization.  We transform our Finance operating model by standardizing, automating and integrating our Reporting & Processes along the Value Chain.

We foster innovation by driving Business Use Cases in the areas of User Experience and Data Management.

We work cross functionally with our colleagues in Finance, IT, and all other departments to eliminate silos. We therefore value effective communication skills on top of technical skills.

About the role:

The Reporting Solutions (GFO&T RS) team is at the core of the Global Finance Operations & Transformations (GFO&T) and focuses on providing a flexible and stakeholder-centric reporting infrastructure for the entire department. The team develops self-service reporting & drives innovation by creating new reporting solutions or tools or automations to enable people to work more efficiently. The team builds and provides operational reporting, management reporting, other internal-performance reporting while also supporting any audit or statutory reporting needs.

The core activities of the Data Engineering Analyst (Data & Visual Engineer) in the GFO&T Reporting Stargate Solutions team include:

• Design, develop, and maintain interactive visual features and interfaces to support internal financial reporting solutions.
• Work closely with data engineers, analysts, and other stakeholders to integrate and visualize complex financial data.
• Contribute to building our data backbone by integrating various Finance data systems using PySpark and open source as well as proprietary tools using Palantir Foundry & other tools to optimize data flow and presentation in user-friendly visual formats.
• Use TypeScript to build dynamic and responsive visual components for reporting dashboards.
• Leverage PySpark for processing and managing large datasets, ensuring that visual outputs are both accurate and performant.
• Troubleshoot, debug, and optimize visual elements to ensure smooth, high-performance applications.
• Be part of the building up data or reporting solutions to address the business requirements or problems for either the home department (GFO&T) or the wider Finance organization
• Work with business users & stakeholders to understand bottlenecks in performing their day-to-day roles & either onboard to existing solutions or build new solutions
• Maintaining existing reporting platforms and performing change management activities as necessary
• Contributing to ad-hoc projects and supporting other team members as required
• Stay up to date with industry trends and best practices in visual engineering, UI/UX design, and financial data visualization.

About you:

• Overall, 5 to 7 years of working experience in data engineering and reporting
• Strong proficiency in TypeScript for building scalable and maintainable front-end solutions
• Solid understanding of PySpark for data processing and management
• Proficiency in Palantir Foundry & its applications (building pipeline using code-repository, using Workshop or Slate for visually appealing dashboards)
• Familiarity with Hadoop and Spark along with optimizing spark-based pipelines
• Data Model Design and implementation based on the requirements
• Able to convert the business problem / situation into technical implementation
• Familiarity with Financial Reporting & Valuations (like IFRS17) is an advantage
• Knowledge of current Visualization tools is an advantage
• Knowing multiple technologies HTML, CSS, JavaScript frameworks like React or Angular or D3.js or Chart.js or similar is a plus
• University degree (equivalent) in quantitative field (e.g. Mathematics, Statistics, Operations Research, Industrial engineering, Computer Science Engineering, Econometrics or Information Technology)

Specific soft skills:

• Excellent command of spoken and written English
• Standout colleague with ability to build proactive, collaborative working relationships with peers and key partners based on respect and teamwork
• Inquisitive, proactive and willing to learn new technologies, understand insurance business and its economics
• Process and delivery mindset aspiring for methodological and operational improvements
• Ability to drive the reporting aspects of multiple ad-hoc projects and have good expectation management of partners