Finance AI Analytics Analyst

ACCOUNTABILITIES & ESSENTIAL FUNCTIONS • Support the budgeting, forecasting, and variance analysis cycle by preparing analyses, identifying key drivers, and ensuring data accuracy. • Analyze financial and operational results to identify trends, risks, and opportunities. • Build and maintain recurring reports, dashboards, and analyses that improve visibility into business performance. • Work with ERP, planning, and other business data sources to support reporting and decision-making. • Validate and reconcile data to ensure accuracy, consistency, and reliability across financial reports and analyses. • Assist with the development and adoption of new planning, reporting, and analytical capabilities. • Support process improvement initiatives through automation, standardization, and improved use of technology. • Utilize AI-enabled tools and automation technologies to improve productivity, streamline workflows, and enhance decision support. • Assist in developing data models, analytical tools, and reporting solutions that improve access to business insights. • Prepare materials and analysis for leadership reviews, ensuring information is clear, accurate, and actionable. • Document assumptions, methodologies, and business logic used in reporting and analysis. • Respond to ad hoc requests by gathering data, structuring analyses, and delivering timely insights. • Develop a strong understanding of business operations and how operational drivers influence financial performance. SKILLS & CERTIFICATIONS • Skill evaluation: Behavioral (80%); Excel (80%) • Foundation in budgeting, forecasting, variance analysis, and financial reporting. • Strong Excel skills with the ability to manipulate and analyze data efficiently. • Strong analytical and problem-solving abilities. • Strong attention to detail with a focus on data accuracy, validation, and auditability. • Ability to learn new systems, technologies, and business processes quickly. • Strong communication skills with the ability to translate analytical findings into business insights. • Demonstrated curiosity and interest in leveraging technology to improve business processes. • Exposure to data visualization and reporting tools such as Power BI, Tableau, or similar platforms preferred. • Exposure to SQL, Python, automation tools, or AI-enabled technologies preferred. • Finance certifications or progress toward them a plus (e.g., CPA, CFA). EDUCATION & EXPERIENCE • Bachelor's degree in Finance, Accounting, Economics, Data Analytics, or a related field. • Minimum 1 year of experience in FP&A, financial analysis, or accounting. • Internship or project experience involving financial analysis, data analytics, reporting, automation, or AI tools is a plus. • Exposure to forecasting, budgeting, or variance analysis in an internship or prior role preferred.