Copy of Finance Data Product Analyst — FP&A

Intuitive • Sunnyvale, CA

4h • $113,600 - $192,300 • Onsite

About The Position

The Finance Data Product Analyst serves as dedicated FP&A analytics support, owning the requirements-to-handoff lifecycle across core FP&A domains. The role addresses a gap in requirements gathering, stakeholder coordination, and AI-to-engineering handoff by providing dedicated capacity. It supports faster turnaround, stronger domain ownership across GLTD, Revenue, CapEx, and HC portfolios, and fewer downstream rework cycles.

The analyst gathers and clarifies Finance stakeholder requirements, translates them into technical specifications and data model requirements, and ensures complete and validated handoffs to the onsite senior analyst and engineering team. The role also validates and reconciles delivered data models and reports, investigates data through existing EDW models, coordinates onsite and offshore delivery, maintains requirements and testing documentation, and supports adoption of AI-augmented analytics.

This is a fully onsite, day-shift employee position. Intuitive is an equal opportunity employer. The posting notes that vaccination proof may be required depending on the role or customer, and that certain roles may be subject to U.S. export-control requirements. Compensation is market-competitive and includes base pay, incentives, benefits, and equity; stated target salary ranges vary by region.

Requirements

• At least 4 years of experience in BI analysis, data product analysis, or finance analytics support roles.
• Strong understanding of FP&A concepts, including general ledger, revenue recognition, CapEx planning, headcount reporting, and cost center hierarchies.
• SQL proficiency for investigating, tracing, and validating data across EDW layers; pipeline development is not expected.
• Experience gathering and documenting requirements and translating business needs into technical requirements.
• Familiarity with Snowflake or similar cloud data platforms from an analyst or consumer perspective.
• Experience with Tableau or similar BI tools for report validation and basic analysis.
• Strong written and verbal communication skills, including writing clear specifications and coordinating across time zones with onsite teams.
• Detail-oriented, structured approach to tracking deliverables and handoff checklists.
• Bachelor's degree in finance, computer science, mathematics, information systems, or business.

Nice To Haves

• Familiarity with SAP Finance or ERP data, including GL, AP, AR, and cost center structures.
• Exposure to AI/ML concepts sufficient to recognize where AI-assisted analytics could add value to FP&A workflows.
• Experience working with offshore delivery models and structured SDLC or agile processes.
• Knowledge of data governance and data quality practices.

Responsibilities

• Gather, clarify, document, and prioritize business requirements from Finance stakeholders across GLTD, Revenue, CapEx, and HC portfolios.
• Translate business requirements into structured technical specifications and data model requirements for handoff to the onsite senior analyst and engineering team.
• Own the requirements-to-engineering handoff process, ensuring specifications are complete, unambiguous, and validated before development.
• Perform data validation, reconciliation, and UAT support to verify delivered models and reports against 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.
• Coordinate between onsite and offshore teams by managing requirements backlogs, tracking delivery status, flagging gaps or conflicts, and ensuring timely handoffs.
• Maintain business requirements documents, data dictionaries, test cases, and process guides.
• Identify business needs that may benefit from AI/ML capabilities and translate them into actionable requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level