Job Openings Data Platform Analyst Palantir (Supervisor Level)

About the job 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.