Analytics and Modeling Associate Manager

Summary:

The Analytics and Modeling Associate Manager analyzes business areas to generate financial insights, supports leadership with ad-hoc analysis, and shapes business requirements for new Finance applications and AI use cases. Trains and validates AI agents with the business knowledge needed to make their outputs trustworthy. Acts as the human-in-the-loop that keeps our AI products grounded in real Finance logic.

Roles and responsibilities:

Partner with finance leadership to address high-priority business questions, delivering timely and high-impact financial insights that support executive decision-making

Lead the development of clear, compelling financial narratives that translate complex analysis into actionable business outcomes

Own the translation of business needs into structured, actionable requirements for applications, semantic models, and AI use cases, ensuring alignment with business intent

Challenge and refine requirements to ensure solutions deliver real business value and reflect actual finance needs

Guide the training of AI agents and models by embedding finance domain expertise, and validating outputs against real financial logic and context

Act as the human-in-the-loop authority, ensuring AI-driven insights are accurate, relevant, and trustworthy before reaching leadership

Lead analysis of business performance to generate actionable, insight-driven recommendations

Ensure analytical outputs are grounded in real-world finance logic and aligned with strategic priorities

Translate complex data into clear, executive-ready storytelling

Collaborate across cross-functional teams to drive delivery and ensure end-to-end business outcomes

Qualifications:

6-8 years of experience in Finance, ideally within enterprise-scale, heterogeneous data environments

Proven experience with data visualization tools (e.g., Power BI)

Demonstrated ability to frame business problems and solve them through data-driven approaches

Ability to operate independently in ambiguous, fast-paced, project-driven environments

Strong relationship-building skills with senior finance stakeholders

High attention to detail, organization, and critical thinking

Ability to perform structured research and translate findings into actionable insights

Experience working in iterative environments, continuously refining output based on feedback

Excellent communication and presentation skills (written and verbal) in English and Spanish

Skills:

Curious, proactive, and business-oriented mindset

Strong financial acumen and analytical thinking

Advanced data storytelling and visualization capabilities

Ability to translate complex business problems into structured analytical approaches

Self-driven, agile, and able to manage multiple priorities simultaneously

Strong orientation toward AI, automation, and emerging technologies

Nice to Have:

Power BI expertise and strong focus on user experience

Experience with SAP Finance modules (e.g., BR/MMB/MMS/MME) or similar enterprise platforms