Finance Data & Analytics Lead

Key Responsibilities

• Contribute to and help operationalize standards for enterprise financial reporting, ensuring consistency in KPIs, financial definitions, financial statement connectivity, and performance metrics.
• Ensure that dashboards and analytics outputs reflect financial logic across P&L, Balance Sheet and cash flow, as well as alignment of enterprise-wide performance drivers and value-based metrics.
• Support alignment between FP&A reporting needs and governed system outputs.
• Provide guidance and informal mentorship to analysts on analytical tools, data usage, and financial interpretation.
• Support capability development across FP&A in BI tools, analytics techniques, and data literacy.
• Promote strong financial literacy alongside technical development and enablement.
• Foster a culture of continuous improvement and disciplined experimentation.
• Lead execution of applied financial analytics initiatives within FP&A.
• Utilize SQL and similar tools to create exploratory analyses, develop automation, support forecasting and variance analysis, performance monitoring.
• Develop and enhance predictive forecasting overlays, scenario modeling frameworks, trend analyses, anomaly detection, and performance monitoring tools for greater insight generation.
• Apply advanced analytical techniques (e.g., statistical modeling, machine learning applications) ensuring outputs remain aligned with business context and financial logic.
• Partner with Financial Systems & Transformation to align analytics initiatives and reporting enhancements with platform governance and enterprise architecture.
• Act as a key Finance representative in discussions regarding reporting usability, data definitions, system enhancements, and analytical requirements.
• Ensure FP&A maximizes value from enterprise data and reporting platforms without duplicating architectural ownership.
• Partner with Enterprise FP&A analysts to translate financial requirements into structured analytical solutions.
• Identify and pilot opportunities to incorporate advanced analytics techniques where they enhance financial insight and decision-making.
• Promote thoughtful experimentation with AI-enabled tools while maintaining governance and financial discipline.

Requirements

• Bachelor’s degree in Finance, Economics, Analytics, Data Science, or related field.
• 7+ years of experience in FP&A, finance analytics, or related enterprise finance leadership roles within a complex organization.
• Strong understanding of enterprise financial statements, financial planning & forecasting, reporting, and performance analysis.
• Experience working with BI platforms, data environments, including familiarity with data modeling principles.
• Working familiarity with SQL and Python sufficient to query and manipulate datasets, troubleshoot, evaluate and guide analytical outputs.
• Demonstrated ability to independently build and deliver analytical solutions that drive business insight.
• Exhibited the capability to bridge finance and technical stakeholders.
• Ability to balance technical depth with sound financial judgment.
• Leadership experience developing analytical talent.
• Strategic mindset with practical execution capability.
• Strong communication skills and ability present insights clearly to Finance & business leaders.

Qualifications

• None specified.

Skills

• Financial Reporting Governance & Standards
• Analytics & Team Leadership
• Applied Analytics Oversight
• Systems & Cross-Functional Partnership
• Continuous Evolution

Benefits

• None specified.

Pay

• Not specified.

Schedule

• Not specified.