Swiss Re

Data Analyst I

Swiss Re

full-time

Posted on:

Location Type: Hybrid

Location: Bangalore • India

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Tech Stack

ApachePySparkPythonSQL

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PySparkSQLPythonDAXAdvanced ExcelPower QueryPower BIdata pipelinesAI/ML model deploymentperformance optimization
Soft Skills
solution-first mindsetcommunicationproblem-solvingownershipcollaboration