Role: Lead Data Analyst Palantir AIP & Foundry.
Location: Milwaukee WI (Hybrid).
Duration: Long Term Contract.
Job Summary:
- The Lead Data Analyst will own the end-to-end use of Palantir AIP and Palantir Foundry to turn complex operational and manufacturing data into actionable high-impact this hybrid leadership role you will design data models and pipelines guide ontology-driven analytics and champion data-driven decision making across business and plant operations with a strong focus on reliability governance and stakeholder enablement.
Responsibilities:
- Use Palantir AIP to explore large complex datasets and generate decision-ready analyses leveraging ontology-aware agents and reproducible workflows.
- Collaborate with cross-functional teams (operations finance supply chain engineering) to capture data requirements and implement solutions in Foundry (pipelines transformations object sets and applications).
- Design build and maintain data models and pipelines in Foundry to ensure accurate consistent and well-governed data assets for reporting and advanced analytics.
- Create dashboards applications and reports in Palantir technologies to communicate trends anomalies and KPIs to technical and non-technical stakeholders.
- Identify patterns and root causes in manufacturing and operational data to improve throughput quality asset utilization and cost efficiency.
- Enforce data integrity lineage and security by applying best practices in data governance and ontology design.
- Mentor junior analysts on Palantir tools data modeling analytic techniques and storytelling with data.
- Partner with Industrial Manufacturing teams to embed analytics into production workflows maintenance strategies and continuous improvement programs.
- Conduct periodic data quality checks and audits to ensure compliance with corporate policies and relevant industry regulations.
- Lead data initiatives from scoping and backlog definition through delivery stakeholder sign-off and operationalization.
- Stay current with new Palantir AIP features Foundry capabilities and industry analytics trends and roll out improvements to existing solutions.
- Facilitate training sessions and workshops to raise data literacy and effective use of Palantir tools across business units.
- Contribute to the design and refinement of data governance frameworks including roles responsibilities and standards for data ownership and quality.
Refined Qualifications:
- 7 10 years of experience in analytics or data science with substantial hands-on work in Palantir AIP Foundry and related Palantir technologies.
- Strong skills in data modeling pipeline development and data integration ideally within ontology-driven platforms like Foundry.
- Demonstrated ability to build dashboards applications and visualizations that clearly communicate insights and support decision-making.
- Experience in Industrial Manufacturing (plant operations production maintenance quality or supply chain) applying analytics to improve operational performance is highly desirable.
- Proven track record of engaging with business stakeholders and translating ambiguous requirements into robust analytical solutions.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences and influence senior stakeholders.
- Commitment to continuous learning with an appetite to adopt new Palantir AIP/Foundry features AI/ML approaches and industry best practices.
Certifications (Required):
- Palantir Certified Data Analyst.
- Palantir Data Science or equivalent certification in Palantir technologies (or evidence of equivalent expertise).
Role: Lead Data Analyst Palantir AIP & Foundry. Location: Milwaukee WI (Hybrid). Duration: Long Term Contract. Job Summary: The Lead Data Analyst will own the end-to-end use of Palantir AIP and Palantir Foundry to turn complex operational and manufacturing data into actionable high-impact ...
Role: Lead Data Analyst Palantir AIP & Foundry.
Location: Milwaukee WI (Hybrid).
Duration: Long Term Contract.
Job Summary:
- The Lead Data Analyst will own the end-to-end use of Palantir AIP and Palantir Foundry to turn complex operational and manufacturing data into actionable high-impact this hybrid leadership role you will design data models and pipelines guide ontology-driven analytics and champion data-driven decision making across business and plant operations with a strong focus on reliability governance and stakeholder enablement.
Responsibilities:
- Use Palantir AIP to explore large complex datasets and generate decision-ready analyses leveraging ontology-aware agents and reproducible workflows.
- Collaborate with cross-functional teams (operations finance supply chain engineering) to capture data requirements and implement solutions in Foundry (pipelines transformations object sets and applications).
- Design build and maintain data models and pipelines in Foundry to ensure accurate consistent and well-governed data assets for reporting and advanced analytics.
- Create dashboards applications and reports in Palantir technologies to communicate trends anomalies and KPIs to technical and non-technical stakeholders.
- Identify patterns and root causes in manufacturing and operational data to improve throughput quality asset utilization and cost efficiency.
- Enforce data integrity lineage and security by applying best practices in data governance and ontology design.
- Mentor junior analysts on Palantir tools data modeling analytic techniques and storytelling with data.
- Partner with Industrial Manufacturing teams to embed analytics into production workflows maintenance strategies and continuous improvement programs.
- Conduct periodic data quality checks and audits to ensure compliance with corporate policies and relevant industry regulations.
- Lead data initiatives from scoping and backlog definition through delivery stakeholder sign-off and operationalization.
- Stay current with new Palantir AIP features Foundry capabilities and industry analytics trends and roll out improvements to existing solutions.
- Facilitate training sessions and workshops to raise data literacy and effective use of Palantir tools across business units.
- Contribute to the design and refinement of data governance frameworks including roles responsibilities and standards for data ownership and quality.
Refined Qualifications:
- 7 10 years of experience in analytics or data science with substantial hands-on work in Palantir AIP Foundry and related Palantir technologies.
- Strong skills in data modeling pipeline development and data integration ideally within ontology-driven platforms like Foundry.
- Demonstrated ability to build dashboards applications and visualizations that clearly communicate insights and support decision-making.
- Experience in Industrial Manufacturing (plant operations production maintenance quality or supply chain) applying analytics to improve operational performance is highly desirable.
- Proven track record of engaging with business stakeholders and translating ambiguous requirements into robust analytical solutions.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences and influence senior stakeholders.
- Commitment to continuous learning with an appetite to adopt new Palantir AIP/Foundry features AI/ML approaches and industry best practices.
Certifications (Required):
- Palantir Certified Data Analyst.
- Palantir Data Science or equivalent certification in Palantir technologies (or evidence of equivalent expertise).
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