Senior Analyst, Advanced Analytics

Conducts moderate to high complexity analysis under general direction, supporting Treasury functions and partnering business units across a global, broad, and varied data landscape. Treasury functions include: Accounts Payable, Payment Services: Bank Administration & Employee Reimbursements, Governance: Unclaimed Property & Treasury Tax, Risk Management: Reconciliation & Controls, Cash Management and Solutions & Consulting Identifies trends and issues following pre-defined business processes. Provides technical and analytical assessments of issues facing the business and presents findings clearly to key stakeholders, including operational teams and leadership Queries data to conduct ad hoc analyses of metrics across premium collection, disbursement, commission, refund, and operational data sources. Analyzes results to quantify performance, evaluate current versus future-state initiatives, and support data-driven business cases Builds, maintains, and enhances predictive models, analytical tools, and dashboards, ensuring accuracy, reliability, and ongoing usability Contributes to a culture of quality by participating in peer review of analytical work and helping establish and follow sound analytical standards. Develops and maintains reference documentation for data sources, models, dashboards, and processes to strengthen the team's foundational capabilities and continuity of support. Supports Treasury's adoption of AI and intelligent automation, applying new tools and techniques to improve efficiency and effectiveness. Partners with Global Finance Technology and other stakeholders to understand data sources, inform data needs, and improve access to reliable data. Serves as point person for moderate to high complexity projects, and as a team member on broader initiatives where they may lead their own work stream. Actively shares job knowledge with less experienced analysts and may mentor a new hire, depending on experience Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required. Mathematics, Economics, Statistics or other quantitative field are preferred fields of study. Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem). Must have good planning, analytical, decision-making and communication skills. Solid understanding of business to improve business outcomes. Familiarity with, or strong interest in, applying AI/GenAI tools and intelligent automation to analytical work. Proficiency with Python, SQL, Power

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