Data Platform Analyst Palantir (Supervisor Level)

Job Summary:

We are looking for a skilled and solution-oriented Data Platform Analyst Palantir to support data modeling, transformation, and operational workflow development within the Palantir Foundry platform. At the Supervisor level, this role focuses on the hands-on delivery of data pipelines and modular solutions that improve access to accurate and actionable insights.

This is a great opportunity for professionals with strong foundational data skills and practical experience in low-code/no-code data platforms who are ready to step into a more autonomous, delivery-focused role.

Key Responsibilities:

• Build and maintain data pipelines, transforms, and operational applications within the Palantir Foundry environment.
• Assist in structuring data models that align with business logic and analytical goals.
• Collaborate with business and technical teams to define requirements and translate them into scalable platform solutions.
• Monitor and ensure data quality, completeness, and alignment with governance standards.
• Document processes, workflows, and technical specifications to support maintainability.
• Troubleshoot and resolve issues in data processing and workflows.
• Contribute to continuous improvement of platform usage and development best practices.
  
  
  

Qualifications:

• Bachelors degree in Information Systems, Computer Science, Data Science, Engineering, or related field.
• 3-5 years of experience in a data analytics or platform delivery role, with direct experience using Palantir Foundry preferred.
• Proficiency in SQL and familiarity with Python or similar scripting languages.
• Understanding of data transformation, workflow automation, and basic data modeling principles.
• Strong problem-solving skills with attention to detail.
• Ability to work independently and in collaboration with cross-functional teams.
  
  
  

Preferred Attributes:

• Experience with cloud-based data platforms and enterprise environments.
• Exposure to agile delivery methods and collaborative tools (e.g., Jira, Confluence).
• Strong communication and documentation skills.