Analytics Engineer II

Location: Analytics Engineer II Are you passionate about turning complex data into intelligent, business-ready analytics products? Do you thrive at the intersection of data engineering, visualization, and AI? If you love building things that matter — at scale, across borders, and with cutting-edge technology — this could be your next great move. About the Role As an Analytics Engineer II , you will be at the heart of building modern analytics products that power smarter decisions across a global reinsurance business. From designing scalable data pipelines and semantic models to delivering interactive Power BI solutions and AI-enabled applications, you will work across the full analytics lifecycle. Leveraging platforms such as Palantir Foundry and Microsoft Power BI , you will translate complex business challenges into elegant, high-impact analytical solutions — and you'll do it with the help of the latest AI-assisted development tools. This is a role for someone who is curious, technically strong, and excited about applying emerging technologies to real-world problems. Key Responsibilities Design and develop enterprise Power BI semantic models, dashboards, and analytics applications that deliver clear, actionable insights to business stakeholders Build and maintain scalable data pipelines and transformation logic using Python/PySpark, SQL, and modern analytics platforms such as Palantir Foundry Partner with business stakeholders to deeply understand business problems and translate them into well-architected analytical products Architect analytics solutions that are performant, reusable, maintainable, and built to scale across a global data landscape Leverage AI technologies — including Palantir AIP and generative AI — to enhance analytics solutions, automate workflows, and improve user experiences where appropriate Utilize AI-assisted development tools such as GitHub Copilot or equivalent to improve development efficiency while upholding high engineering standards Collaborate within a globally distributed development team to deliver robust, scalable data products in an agile environment About the Team Life & Health Data & Analytics Engineering is a strategic technology partner for Swiss Re's Life & Health Reinsurance division. We are at the forefront of transforming the data landscape — building innovative analytical products and capabilities that enable better, faster, data-driven decisions across the entire business value chain. We are a large, globally distributed team working in an agile delivery environment, united by a shared passion for data, engineering excellence, and continuous innovation. Whether we're modernizing data infrastructure, developing intelligent applications, or exploring the latest in AI-assisted analytics, we bring curiosity and craftsmanship to everything we build. Joining this team means becoming part of a collaborative, inclusive, and forward-thinking community that values diverse perspectives and bold ideas. About You You are energized by the challenge of solving complex, large-scale analytics problems using leading-edge technologies. You have a proven ability to pick up new tools and platforms quickly — especially in the areas of AI, modern analytics, and cloud-native data engineering. You are a self-starter who takes ownership of solutions from concept to delivery, and you bring strong communication skills that allow you to bridge the gap between technical teams and business stakeholders. You are comfortable working across time zones and cultures, and you bring a collaborative, growth-oriented mindset to everything you do. We are looking for candidates who meet these requirements: Bachelor's degree or equivalent in Computer Science, Data Science, or a related discipline 3–5 years of experience working with large-scale software systems, with a focus on visualization tools such as Microsoft BI Suite, Azure Databricks, or Oracle Strong enterprise Power BI expertise , including semantic model design, DAX, Power Query, and visualization best practices Strong SQL skills with demonstrated experience designing performant queries and data models Hands-on experience developing reusable ETL/ELT pipelines Proficiency in Python/PySpark for data engineering, analytics, or automation tasks Solid understanding of dimensional modeling and data warehousing concepts Experience with Git and collaborative software development practices Familiarity with Agile software delivery methodologies These are additional nice to haves: Experience with modern analytics platforms such as Palantir Foundry, Databricks, Microsoft Fabric, or Snowflake Experience building data pipelines within Palantir Foundry Experience using Palantir AIP or other AI/LLM frameworks to develop intelligent business applications Experience integrating LLMs into analytics workflows Knowledge of the Insurance or Reinsurance domain , Financial Services industry, or Finance functions in other industries Enthusiasm for working in a global, multicultural environment with both internal and external collaborators 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. Keywords: Reference Code: 138809 Job Segment: Analytics, Data Analyst, Management, Data