Intuitive Autonomy

Intuitive Autonomy

Finance Data Product Analyst — FP&A

Durham, NC, United States · Contract

Sponsorship not specifiedDetected 5 days ago
SQLSnowflakeMachine LearningData VisualizationAccessibilityAccountingSAPFP&AERPAR/VRCommunication

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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Nearly 30 years later, that question still fuels everything we do at Intuitive.
  • As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide.

Responsibilities

  • Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
  • The Finance Data Product Analyst will serve as the dedicated FP&A analytics support resource, owning the requirements-to-handoff lifecycle across core FP&A domains.
  • This role fills a current gap where FP&A requirements gathering, stakeholder coordination, and AI-to-engineering handoff are absorbed across leads without dedicated capacity.
  • Serve as the dedicated FP&A analyst for requirements intake - gather, clarify, document, and prioritize business requirements from Finance stakeholders across GLTD, Revenue, CapEx, and HC portfolios.
  • Own the requirements-to-engineering handoff process - ensure specifications are complete, unambiguous, and validated before passing to development, reducing rework cycles.
  • Perform data validation, reconciliation, and UAT support - verify that delivered models and reports match business intent and source data.
  • Debug and trace data through existing EDW models to answer stakeholder questions, identify discrepancies, and document root causes for engineering resolution.
  • Maintain documentation:
  • business requirements documents, data dictionaries, test cases, and process guides.

Requirements

  • Required Skills and Experience
  • 4 years of experience in BI analysis, data product analysis, or finance analytics support roles.
  • Strong understanding of FP&A concepts - general ledger, revenue recognition, CapEx planning, headcount reporting, cost center hierarchies.
  • SQL proficiency for data investigation. ability to query, trace, and validate data across EDW layers (not expected to build pipelines).
  • Experience with requirements gathering, documentation, and business-to-technical translation.
  • Familiarity with Snowflake or similar cloud data platforms from an analyst/consumer perspective.
  • Experience with Tableau or similar BI tools for report validation and basic analysis.

Nice to have

  • SAP Finance or ERP data familiarity (GL, AP, AR, cost center structures).
  • Exposure to AI/ML concepts - enough to recognize where AI-assisted analytics could add value to FP&A workflows.
  • Experience working in offshore delivery models with structured SDLC or agile processes.
  • Knowledge of data governance and data quality practices.
  • Bachelor's degree in finance, computer science, mathematics, information systems, or business.
  • Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.
  • Details can vary by role.
  • Intuitive is an Equal Opportunity Employer.

Skills

  • It started with a simple idea: what if surgery could be less invasive and recovery less painful?

Benefits

  • If you're ready to contribute to something bigger than yourself and help transform the future of healthcare, you'll find your purpose here.
  • Support AI-augmented analytics adoption by articulating business needs that could benefit from AI/ML capabilities and translating them into actionable requirements.

Company info

  • If you require assistance or an accommodation during any part of the application or interview process, please contact People Services at HRHelpNow@intusurg.com.
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This listing is sourced directly from Intuitive Autonomy's careers page and normalized into a canonical job model.