Senior Data Analyst developing data services to support enterprise analytics. Collaborating across data lifecycle with a focus on high - value data products.
About the role
- Data Engineer transforming complex datasets into actionable insights for Swiss Re's P&C Finance team. Building data pipelines and reporting tools in a hybrid work environment.
Responsibilities
- Design and build robust data pipelines in Palantir Foundry
- Develop transformation logic using PySpark and Apache-based technologies
- Lead end-to-end data initiatives including ingestion, transformation, solution development, and AI/ML model deployment
- Drive industrialization by building robust, enterprise-grade data pipelines and AI applications
- Support and enhance existing reporting platforms, particularly in Power BI
- Create new reporting tools or dashboards that visualize financial and operational data
- Automate manual processes through innovative data flows
- Take ownership of reporting problems with a solution-first mindset
Requirements
- Comfortable with SQL and Python
- Built things using Advanced Excel, Power Query, or Power BI
- Written some DAX logic, or excited to learn more
- Like working with big messy datasets and finding ways to clean and align them
- Comfortable talking to business users and explaining logic
- Nice to haves: user-defined functions (UDFs) in PySpark
- Follow systematic coding practices
- Worked with version control (Git or similar)
- Care about performance optimization
- Prior experience with Palantir Foundry, or working with finance data is a big plus
- Worked on projects where you pulled together data from different places and made something useful
Benefits
- hybrid work model where the expectation is that you will be in the office at least three days per week
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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