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Lead Data Analyst – Palantir AIP & Foundry
Lead Data Analyst – Palantir AIP & FoundryVDart Inc • Milwaukee, Wisconsin, USA
Lead Data Analyst – Palantir AIP & Foundry

Lead Data Analyst – Palantir AIP & Foundry

VDart Inc • Milwaukee, Wisconsin, USA
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  • [job_card.full_time]
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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).

    • Key Skills

    Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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