Finance Business Intelligence Analyst

Responsibilities

• Assist the Director of Finance and sit at the intersection of FP&A, data/analytics, and decision support.
• 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 present insights clearly 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 BI 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 with extensive interaction with senior management and various internal teams.
• Team‑oriented, self‑motivated, and proactive.
• Intellectual curiosity and enthusiasm for AI and emerging technologies.