Lead Data Analyst (Palantir AIP Palantir Foundry )

Role: Lead Data Analyst (Palantir AIP Palantir Foundry ) Location – Milwaukee, WI Job Summary We are seeking a Lead Data Analyst with 7 to 10 years of experience to join our team. The ideal candidate will have expertise in Palantir AIP Palantir Foundry and Palantir technologies. Experience in the Industrial Manufacturing domain is a plus. This hybrid role requires a proactive individual who can drive data-driven decisions and contribute to our company’s success. Responsibilities • Analyze complex datasets using Palantir AIP to provide actionable insights that drive business decisions. • Collaborate with cross-functional teams to understand data requirements and deliver solutions using Palantir Foundry. • Develop and maintain data models and pipelines to ensure data accuracy and consistency. • Utilize Palantir technologies to create dashboards and reports that effectively communicate data findings to stakeholders. • Identify trends and patterns in data to support strategic planning and operational improvements. • Ensure data integrity and security by implementing best practices in data management. • Provide technical guidance and support to junior analysts in the team. • Work closely with the Industrial Manufacturing team to apply data analytics in optimizing production processes. • Conduct regular data audits to ensure compliance with company policies and industry regulations. • Lead data-driven projects from conception to completion ensuring timely delivery and quality outcomes. • Stay updated with the latest advancements in data analytics and Palantir technologies to continuously improve processes. • Facilitate workshops and training sessions to enhance data literacy across the organization. • Contribute to the development of data governance frameworks to enhance data quality and accessibility. Qualifications • • Possess strong analytical skills with extensive experience in Palantir AIP Foundry and related technologies. • Demonstrate a solid understanding of data modeling data pipelines and data visualization techniques. • Have experience in the Industrial Manufacturing domain applying data analytics to improve operational efficiency. • Exhibit excellent problem-solving skills and the ability to work collaboratively in a hybrid work model. • Show proficiency in communicating complex data insights to non-technical stakeholders effectively. • Display a commitment to continuous learning and staying abreast of industry trends and technologies. Certifications Required Palantir Certified Data Analyst Data Science Certification