Finance Data Product Analyst — FP&A
Role Overview
The Finance Data Product Analyst provides dedicated FP&A analytics support and owns the requirements-to-handoff lifecycle across core FP&A domains.
The role supports GLTD, Revenue, CapEx, and headcount portfolios, strengthening domain ownership and reducing downstream rework.
Key Skills for This Role
Full Job Posting
Role overview
The Finance Data Product Analyst provides dedicated FP&A analytics support and owns the requirements-to-handoff lifecycle across core FP&A domains.
The role supports GLTD, Revenue, CapEx, and headcount portfolios, strengthening domain ownership and reducing downstream rework.
Requirements and delivery
- Gather, clarify, document, and prioritize business requirements from Finance stakeholders.
- Translate requirements into technical specifications and data model requirements for analyst and engineering teams.
- Own requirements-to-engineering handoffs and validate specifications before development.
- Coordinate onsite and offshore teams, backlogs, delivery status, gaps, and handoffs.
Data validation and documentation
- Validate and reconcile data and support UAT to confirm delivered models and reports match business intent and source data.
- Investigate data in existing EDW models, identify discrepancies, and document root causes for engineering resolution.
- Maintain requirements documents, data dictionaries, test cases, and process guides.
AI-augmented analytics
- Identify business needs that could benefit from AI/ML capabilities and translate them into actionable requirements.
Required qualifications
- At least 4 years in BI analysis, data product analysis, or finance analytics support.
- Strong FP&A understanding, including general ledger, revenue recognition, CapEx planning, headcount reporting, and cost center hierarchies.
- SQL proficiency for investigating, tracing, and validating EDW data; pipeline development is not expected.
- Experience with requirements gathering, documentation, and business-to-technical translation.
- Familiarity with Snowflake or similar cloud data platforms and experience with Tableau or similar BI tools.
- Strong written and verbal communication, structured tracking, and attention to detail.
- Bachelor’s degree in finance, computer science, mathematics, information systems, or business.
Preferred qualifications
- SAP Finance or ERP data familiarity.
- Exposure to AI/ML concepts and offshore delivery models with structured SDLC or agile processes.
- Knowledge of data governance and data quality practices.
Workplace
- The description states the role is not remote and refers to onsite teams.
Compensation
- Annual salary range is USD 113,600–192,300.
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