Finance Business Intelligence Analyst

Responsibilities

The Business Intelligence Analyst will assist the Director of Finance and sit at the intersection of FP&A, data/analytics, and decision support.

The ideal candidate will be detail-oriented and will operate with a heart of service, a positive attitude, and a strong work ethic.

• Clean, prepare, and model raw data from various sources to create both specific-use datasets and broader departmental data models
• Own validation, reconciliation, and ongoing monitoring of Finance data models to ensure accuracy, reliability, and consistency
• Act as the Finance data domain owner, ensuring alignment across systems and reporting
• Document data models, definitions, and logic in partnership with IT
• Develop and implement methods to improve data quality, reliability, and accessibility
• Translate complex business questions into actionable analyses and interpret/present insights in a clear way to diverse audiences including senior management

• Build and maintain Power BI dashboards, reports, and visualizations
• Replace recurring manual reports and analyses with automated, scalable solutions
• Design new reports that can be deployed across regions, sectors, or business units
• Identify inefficiencies in workflows and redesign for greater scalability and performance

• Identify and implement AI use cases across Finance workflows
• Develop and deploy Finance-specific GPTs and AI-enabled tools
• Spearhead the adoption and integration of cutting‑edge business intelligence and AI tools and technologies, working closely with IT to ensure robust and secure systems

• Bachelor’s degree in Finance, Accounting, Data Analytics, Computer Science or related field
• 3–5+ years of experience in finance, FP&A, business intelligence, or data analytics
• Experience working in a corporate or operational finance environment preferred
• Proficiency in Microsoft Office applications and business intelligence software like Power
  
  BI, Crystal Reports, or Tableau required
• Basic coding and programming knowledge required; SQL preferred
• Exposure to big data platforms preferred (e.g., Databricks or similar)
• Exposure to AI tools, automation platforms, or GPT‑based solutions preferred
• Excellent analytical and problem‑solving skills
• Highly organized with strong attention to detail and data accuracy
• Process improvement mindset with a focus on scalability
• Strong interpersonal and communication skills (extensive interaction with senior management and various internal teams)
• Team oriented, self‑motivated, and proactive
• Intellectual curiosity and enthusiasm for AI and emerging technologies

The above description covers the principal duties and responsibilities of the job. The description shall not, however, be construed as a complete listing of all miscellaneous, incidental, or similar duties which may be required from day‑to‑day. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.