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We are looking for a Product Analyst to join our Analytics Products Engineering team and support the evolution of RGM & Finance products within a portfolio of core AI powered solutions across the Commercial and Finance streams. RGM & Finance products are AI powered decision engines that transform complex commercial and financial data into actionable insights to drive profitable growth. The Promo Advanced Analytics Tool (PAAT) enables deep post event analysis to evaluate promotional effectiveness and ROI, while within the Revenue Growth Management stream, the OBPPC product supports commercial strategy and Pricing Copilot focuses on pricing optimization, enabling more responsive, data driven decisions aligned with market dynamics. In the Finance stream, AI powered analytics transform financial, tax related and contractual data into trusted insights. This includes solutions that support corporate audits through automated validation of CDE contracts, the Tax Management Fees tool that strengthens tax governance by simplifying and digitizing general management fees processes and supporting activities collection for general management fees process, and the Finance A&I Channel Profitability Ecosystem, which integrates financial internal and external data into actionable plans—enabling disciplined, scalable execution across markets. Within this context, the Product Analyst plays a critical role in turning product vision and design into execution-ready delivery — ensuring clarity, consistency, and quality across requirements, solution design, and implementation. This role sits at the heart of the product team, working closely with Product Management, Design, Data Science, and Engineering to drive high-quality, scalable, and impactful solutions.
Job Responsibility
Translate design inputs, user journeys, and business needs into clear functional specifications and structured requirements
Support the Product Manager in shaping features, user stories, and acceptance criteria
Ensure requirements are complete, consistent, and aligned with product objectives
Act as the bridge between design intent and technical implementation
Work closely with Data Science teams to define expected outputs, assumptions, and interpretation logic
Validate analytical and AI outputs against business expectations and use cases
Monitor product usage and operations, identifying improvement opportunities
Shape solution designs together with the Product Manager, Architect, and engineering teams
Define and maintain high‑quality backlog items (Epics, Features, User Stories) and support sprint planning
Participate in estimation sessions and contribute to effort sizing with engineering team
Support validation of end-to-end scenarios and product behavior
Identify gaps, inconsistencies, and improvement areas proactively
Partner with engineering, data, and governance teams to align end‑to‑end product delivery