A prominent data solutions company based in California is seeking a professional to lead business analytics projects, particularly focusing on Oracle Financial Data Intelligence (FDI). This role involves managing finance requirements, designing data models, and ensuring data quality. The ideal candidate should possess hands-on experience with Oracle FDI, strong communication abilities, and a solid understanding of financial metrics. The position offers a competitive salary of $60 - $70/hr on W2 and can be remote or hybrid based in the SF Bay Area.
Qualifications
Hands-on experience with Oracle FDI implementation.
Experience leading finance requirements gathering sessions.
Strong understanding of financial metrics and KPIs.
Responsibilities
Lead workshops with stakeholders to gather requirements.
Design and implement data models and dashboards in Oracle FDI.
Conduct user acceptance testing and manage production migrations.
Skills
Oracle Financial Data Intelligence (FDI)
Financial metrics & KPIs
Data modeling
Documentation skills
Excellent communication skills
Autonomous work
Organizational skills
Tools
Oracle Cloud Financials
Oracle Analytics Cloud
Data integration tools
Job description
Palo Alto, CA (Remote or Hybrid if in SF Bay Area)
This position pays around $60 - $70/hr on W2
Responsibilities
Business Discovery & Analysis
Lead requirements for workshops with FP&A, Accounting & Procurement.
Translating needs into well‑formed user stories, acceptance criteria, and success metrics. Map KPIs/metrics (e.g., revenue, COGS, Opex, cash flow, AP/AR aging, PO cycle times) to source systems and FDI subject areas.
Design and implement data models, pipelines, and semantic layers within Oracle Finance Data Intelligence (leveraging Oracle subject areas, views, and data products).
Build/Configure reports, dashboards, and self‑service datasets.
Implement drill paths, prompts/filters, row‑level security, and data entitlements.
Establish data quality checks & build/maintain documentation.
Conduct UAT and migrate in production environment.
Run demos and showcases with Finance leadership and business stakeholders; collect feedback and iterate fast.
Create playbooks and training (how‑to guides, release notes, KPI definitions) to drive adoption and self‑service analytics.
Required Qualifications
Hands‑on experience implementing and configuring Oracle Financial Data Intelligence (FDI)
Experience leading requirements gathering sessions with finance stakeholders including FP&A, Accounting, and Procurement
Strong understanding of financial metrics and KPIs such as revenue, COGS, operating expenses, cash flow, AP/AR aging, and procurement cycle times
Proven ability to design and build data models, semantic layers, dashboards, and self‑service datasets within Oracle FDI
Experience configuring drill paths, prompts, filters, row‑level security, and data entitlements
Knowledge of Oracle subject areas, views, and data products
Experience mapping business metrics to source systems and reporting structures
Ability to establish data quality checks and validation processes
Experience conducting user acceptance testing and managing production migrations
Strong documentation skills covering data models, configurations, and processes
Ability to create training materials, playbooks, and how‑to guides for end users
Excellent communication skills with the ability to present to finance leadership and business stakeholders
Ability to work autonomously with minimal supervision
Familiarity with Oracle Analytics Cloud, OTBI, or Oracle Business Intelligence
Background working directly with FP&A teams on budgeting, forecasting, or financial planning processes
Experience with data integration tools or Oracle Integration Cloud
Prior experience in a consulting or systems integrator environment
Background working in multinational organizations or with global finance teams
Experience driving self‑service analytics adoption across an organization
Knowledge of Agile methodologies and iterative delivery practices CBAP , PMP , or Oracle certifications
Core Competencies
Analytical Thinking: Ability to break down complex business problems, identify root causes, and develop structured solutions
Technical Aptitude: Comfort working hands‑on with data models, configurations, and reporting tools while understanding underlying data structures
Business Acumen: Strong understanding of finance and accounting processes, terminology, and how data supports decision‑making
Communication: Ability to convey technical concepts to non‑technical audiences and translate business needs into technical requirements
Stakeholder Management: Skill in building relationships, managing expectations, and engaging effectively with finance leadership and cross‑functional teams
Attention to Detail: Commitment to data accuracy, documentation quality, and thorough testing
Adaptability: Ability to iterate quickly based on feedback and adjust to evolving priorities
Ownership & Accountability: Self‑directed approach with a strong sense of responsibility for outcomes and deliverables
Enablement Mindset: Focus on empowering end users through training, documentation, and self‑service capabilities
Collaboration: Ability to work effectively with technical and business teams across functions and geographies