FP&A Data Product Analyst: AI-Driven Analytics

Intuitive; Sunnyvale (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Intuitive in Sunnyvale is seeking a Finance Data Product Analyst to own the requirements-to-handoff lifecycle across FP&A domains, including GLTD, Revenue, CapEx, and HC portfolios. You will serve as the dedicated analytics resource to accelerate turnaround and improve domain ownership.

You will translate business needs into technical specs, manage handoffs to engineering, validate delivered models, perform data validation and UAT, and document data dictionaries and test cases.

Qualifications

• Experience in FP&A analytics partnering with finance stakeholders across multiple portfolios.
• Ability to translate business requirements into structured data/technical specifications.
• Strong data modeling and validation skills with attention to accuracy.

Responsibilities

• Gather, clarify, and document FP&A requirements from stakeholders across GLTD, Revenue, CapEx, and HC portfolios.
• Translate business needs into data model requirements for handoff to engineering.
• Own the requirements-to-engineering handoff process to reduce rework and ensure completeness.
• Perform data validation, reconciliation, and UAT support to verify models match business intent.
• Debug data traces in EDW models to answer questions and document root causes for engineering resolution.
• Coordinate between onsite and offshore teams to manage backlogs and timely handoff.
• Maintain documentation including BRDs, data dictionaries, test cases, and process guides.
• Support AI-augmented analytics by translating business needs into AI/ML opportunities.

Skills

FP&A

Requirements gathering

Data modeling

Stakeholder management

Tools

SQL

ETL

UAT

Job description

Intuitive in Sunnyvale is seeking a Finance Data Product Analyst to own the requirements-to-handoff lifecycle across FP&A domains, including GLTD, Revenue, CapEx, and HC portfolios. You will serve as the dedicated analytics resource to accelerate turnaround and improve domain ownership.

You will translate business needs into technical specs, manage handoffs to engineering, validate delivered models, perform data validation and UAT, and document data dictionaries and test cases.