Sr Data Analyst: Palantir Foundry & NetSuite Integrations

Skydio; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Skydio is seeking a Sr. Data Analyst to specialize in systems integrations, workflows, dashboards, and development.

The role focuses on building, maintaining, and optimizing data flows between NetSuite and key platforms, while creating compelling dashboards from integrated data. You will own and manage the Palantir Foundry platform from a Finance perspective, designing and enhancing data pipelines, troubleshooting issues, and documenting best practices.

Qualifications

• 3+ years of experience with data visualization tools.
• Strong analytical and problem-solving skills.
• Bachelor’s or Master’s degree in CS/MIS or related field.
• Experience with building/maintaining integration pipelines between NS and other business applications.
• 2+ years hands-on experience with Palantir Foundry preferred.

Responsibilities

• Build, maintain, and optimize data flows between NetSuite and other platforms.
• Create dashboards and data visualizations from integrated data.
• Own and manage the Palantir Foundry platform from a Finance perspective.
• Design, develop, and enhance data pipelines on Palantir Foundry.
• Troubleshoot integration issues and ensure data accuracy and reliability.
• Document reverse ETL flows, technical specs, and best practices.
• Define ontologies to structure enterprise data and drive improvements.

Skills

Data analysis

Data visualization

Integration design

Business intelligence

Problem solving

Education

Bachelor's or Master’s degree in CS/MIS or related field

Tools

Palantir Foundry

NetSuite

Databricks

PySpark

Job description

Skydio is seeking a Sr. Data Analyst to specialize in systems integrations, workflows, dashboards, and development.

The role focuses on building, maintaining, and optimizing data flows between NetSuite and key platforms, while creating compelling dashboards from integrated data. You will own and manage the Palantir Foundry platform from a Finance perspective, designing and enhancing data pipelines, troubleshooting issues, and documenting best practices.