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Oracle Financial Consultant

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: The Mice Groups, Inc.
Full Time position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 60 - 70 USD Hourly USD 60.00 70.00 HOUR
Job Description & How to Apply Below

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
  • Strong organizational and prioritization skills
Preferred Qualifications
  • Experience with Oracle Cloud Financials (General Ledger, Accounts Payable, Accounts Receivable, Procurement)
  • 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
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