FP&A Data Product Analyst: Transform Finance Insights

Intuitive; Durham (NC); Presencial; USD 114.000 - 134.000; Jornada completa

Descripción de la vacante

Intuitive in the United States is seeking a Finance Data Product Analyst to own the requirements-to-handoff lifecycle across FP&A domains, including GLTD, Revenue, CapEx and headcount reporting. You will translate business needs into technical specs for the onsite analytics and engineering teams, ensuring clear, unambiguous requirements and timely handoffs.

The role emphasizes data validation, UAT support, and documenting data dictionaries, with collaboration across time zones.

Formación

• 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.
• 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.
• Strong written and verbal communication — ability to write clear specs and coordinate across time zones with onsite teams.
• Detail-oriented with a structured approach to tracking deliverables and handoff checklists.
• Preferred Qualifications: SAP Finance or ERP data familiarity, Exposure to AI/ML concepts, Offshore delivery models, Data governance knowledge.

Responsabilidades

• 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.
• 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 — 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.
• Coordinate between onsite and offshore teams — manage requirements backlogs, track delivery status, flag gaps or conflicts, and ensure timely handoff at each stage.
• Maintain documentation: business requirements documents, data dictionaries, test cases, and process guides.
• Support AI-augmented analytics adoption by articulating business needs that could benefit from AI/ML capabilities and translating them into actionable requirements.

Conocimientos

BI analysis

Data product analytics

Finance analytics

FP&A concepts

SQL

Snowflake

Tableau

Requirements gathering

Documentation

Data validation

Educación

Bachelor's degree in finance, computer science, mathematics, information systems, or business

Herramientas

Snowflake

Tableau

Excel

Descripción del empleo

Intuitive in the United States is seeking a Finance Data Product Analyst to own the requirements-to-handoff lifecycle across FP&A domains, including GLTD, Revenue, CapEx and headcount reporting. You will translate business needs into technical specs for the onsite analytics and engineering teams, ensuring clear, unambiguous requirements and timely handoffs.

The role emphasizes data validation, UAT support, and documenting data dictionaries, with collaboration across time zones.